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AI Growth Automation Engineer - Buenos Aires (Hybrid)

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AI Growth Automation Engineer - Buenos Aires (Hybrid)

Buenos Aires / C / Argentina

Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

What You'll Do
We're looking for someone who gets a kick out of turning "someone should really automate this" into a working tool by next week. You'll sit at the intersection of Lifecycle, Sales, and AI — building the agents, workflows, and internal products that let Clara prospect, sell, and onboard faster and smarter than a headcount-only approach ever could. This isn't a "use AI to write better emails" role. It's a build role. You'll ship things: SDR co-pilots, outbound agents, lifecycle automations, onboarding flows — and you'll own whether they actually move pipeline and activation, not just whether they're clever.

You Will:

  • Build AI-powered prospecting & SDR tooling: design and ship agents/workflows that find, qualify, and engage prospects, and that get meetings on AEs' calendars — using tools like Amplemarket, Clay, HubSpot, and LLM APIs, glued together with n8n or custom code.
  • Own lifecycle automation end to end: build and iterate on onboarding, activation, and retention flows across email, WhatsApp, and push, using Customer.io and our internal data stack, with AI doing the heavy lifting on personalization, timing, and content generation.
  • Design the SDR-to-AE handoff as a system, not a manual process: instrument lead scoring, routing, and handoff logic so reps spend time on conversations, not admin.
  • Prototype fast, validate faster: you're expected to go from idea to working internal tool in days, test it against real pipeline/activation metrics, kill what doesn't work, and scale what does.
  • Partner cross-functionally: work directly with Sales, SDR leadership, Lifecycle, and Data/Eng to identify where automation unlocks the most value, and to make sure what you build actually gets adopted.
  • Turn data into iteration: use Metabase, HubSpot, and Customer.io data to measure what your builds are actually doing to CAC payback, meetings booked, activation rate, and pipeline generated — and report on it in plain, honest terms.

Who You Are
We're looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.

Must haves

  • +2 years of hands-on experience building automation, internal tools, or AI-powered products — not just using AI tools, but shipping things that use APIs, LLMs, or agent frameworks to do real work.
  • Experience with workflow/automation platforms (n8n, Zapier, Make, or equivalent) and comfort integrating APIs across systems (CRM, marketing automation, sales tooling).
  • Working familiarity with CRM/lifecycle platforms such as HubSpot, Customer.io, or Salesforce.
  • Enough technical fluency to read/write basic scripts (Python, JavaScript) or work closely with engineers to get something shipped — you don't need to be a software engineer, but you can't be blocked waiting for one.
  • Strong written and verbal communication in English; ability to explain what you built and why it matters to non-technical stakeholders and executives.
  • A bias toward building and testing over planning — you'd rather ship a rough version this week than a perfect spec next month.

Nice to haves

  • Background in Lifecycle Marketing, RevOps, Sales Engineering, Product, or Software Engineering (any of these paths is fine — we care about what you've built, not your job title history).
  • Direct experience with sales engagement/AI prospecting tools (Amplemarket, Clay, Apollo, or similar).
  • Experience working with LLM APIs (OpenAI, Anthropic) and basic prompt engineering.
  • Experience in B2B SaaS or fintech, ideally with an SDR/AE motion.
  • Startup or small-team experience where you owned something end to end, from idea to production.
  • Portuguese proficiency (not required, but useful across our MX/BR/CO/AR footprint).

Why join Clara
At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who We Are

  • We’re the leading B2B fintech for spend management in Latin America.
  • Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
  • Passionate about making Latin America more prosperous and competitive.
  • Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
  • Product-led, high-talent-density culture — designed for builders who raise the bar.
  • Proud of our open, inclusive, and values-driven environment.

What We Believe In

  • #Clarity. We say things clearly, directly, and proactively.
  • #Simplicity. We reduce noise to focus on what really matters.
  • #Ownership. We take responsibility and never wait to be told.
  • #Pride. We build products and experiences we’re proud of.
  • #Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
  • #Inclusivity. Every voice counts. Everyone contributes to our mission.

What We Offer

  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High-ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

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244 results found

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  • Afghanistan+93
  • Åland Islands+358
  • Albania+355
  • Algeria+213
  • American Samoa+1
  • Andorra+376
  • Angola+244
  • Anguilla+1
  • Antigua & Barbuda+1
  • Argentina+54
  • Armenia+374
  • Aruba+297
  • Ascension Island+247
  • Australia+61
  • Austria+43
  • Azerbaijan+994
  • Bahamas+1
  • Bahrain+973
  • Bangladesh+880
  • Barbados+1
  • Belarus+375
  • Belgium+32
  • Belize+501
  • Benin+229
  • Bermuda+1
  • Bhutan+975
  • Bolivia+591
  • Bosnia & Herzegovina+387
  • Botswana+267
  • Brazil+55
  • British Indian Ocean Territory+246
  • British Virgin Islands+1
  • Brunei+673
  • Bulgaria+359
  • Burkina Faso+226
  • Burundi+257
  • Cambodia+855
  • Cameroon+237
  • Canada+1
  • Cape Verde+238
  • Caribbean Netherlands+599
  • Cayman Islands+1
  • Central African Republic+236
  • Chad+235
  • Chile+56
  • China+86
  • Christmas Island+61
  • Cocos (Keeling) Islands+61
  • Colombia+57
  • Comoros+269
  • Congo - Brazzaville+242
  • Congo - Kinshasa+243
  • Cook Islands+682
  • Costa Rica+506
  • Côte d’Ivoire+225
  • Croatia+385
  • Cuba+53
  • Curaçao+599
  • Cyprus+357
  • Czechia+420
  • Denmark+45
  • Djibouti+253
  • Dominica+1
  • Dominican Republic+1
  • Ecuador+593
  • Egypt+20
  • El Salvador+503
  • Equatorial Guinea+240
  • Eritrea+291
  • Estonia+372
  • Eswatini+268
  • Ethiopia+251
  • Falkland Islands+500
  • Faroe Islands+298
  • Fiji+679
  • Finland+358
  • France+33
  • French Guiana+594
  • French Polynesia+689
  • Gabon+241
  • Gambia+220
  • Georgia+995
  • Germany+49
  • Ghana+233
  • Gibraltar+350
  • Greece+30
  • Greenland+299
  • Grenada+1
  • Guadeloupe+590
  • Guam+1
  • Guatemala+502
  • Guernsey+44
  • Guinea+224
  • Guinea-Bissau+245
  • Guyana+592
  • Haiti+509
  • Honduras+504
  • Hong Kong SAR China+852
  • Hungary+36
  • Iceland+354
  • India+91
  • Indonesia+62
  • Iran+98
  • Iraq+964
  • Ireland+353
  • Isle of Man+44
  • Israel+972
  • Italy+39
  • Jamaica+1
  • Japan+81
  • Jersey+44
  • Jordan+962
  • Kazakhstan+7
  • Kenya+254
  • Kiribati+686
  • Kosovo+383
  • Kuwait+965
  • Kyrgyzstan+996
  • Laos+856
  • Latvia+371
  • Lebanon+961
  • Lesotho+266
  • Liberia+231
  • Libya+218
  • Liechtenstein+423
  • Lithuania+370
  • Luxembourg+352
  • Macao SAR China+853
  • Madagascar+261
  • Malawi+265
  • Malaysia+60
  • Maldives+960
  • Mali+223
  • Malta+356
  • Marshall Islands+692
  • Martinique+596
  • Mauritania+222
  • Mauritius+230
  • Mayotte+262
  • Mexico+52
  • Micronesia+691
  • Moldova+373
  • Monaco+377
  • Mongolia+976
  • Montenegro+382
  • Montserrat+1
  • Morocco+212
  • Mozambique+258
  • Myanmar (Burma)+95
  • Namibia+264
  • Nauru+674
  • Nepal+977
  • Netherlands+31
  • New Caledonia+687
  • New Zealand+64
  • Nicaragua+505
  • Niger+227
  • Nigeria+234
  • Niue+683
  • Norfolk Island+672
  • North Korea+850
  • North Macedonia+389
  • Northern Mariana Islands+1
  • Norway+47
  • Oman+968
  • Pakistan+92
  • Palau+680
  • Palestinian Territories+970
  • Panama+507
  • Papua New Guinea+675
  • Paraguay+595
  • Peru+51
  • Philippines+63
  • Poland+48
  • Portugal+351
  • Puerto Rico+1
  • Qatar+974
  • Réunion+262
  • Romania+40
  • Russia+7
  • Rwanda+250
  • Samoa+685
  • San Marino+378
  • São Tomé & Príncipe+239
  • Saudi Arabia+966
  • Senegal+221
  • Serbia+381
  • Seychelles+248
  • Sierra Leone+232
  • Singapore+65
  • Sint Maarten+1
  • Slovakia+421
  • Slovenia+386
  • Solomon Islands+677
  • Somalia+252
  • South Africa+27
  • South Korea+82
  • South Sudan+211
  • Spain+34
  • Sri Lanka+94
  • St. Barthélemy+590
  • St. Helena+290
  • St. Kitts & Nevis+1
  • St. Lucia+1
  • St. Martin+590
  • St. Pierre & Miquelon+508
  • St. Vincent & Grenadines+1
  • Sudan+249
  • Suriname+597
  • Svalbard & Jan Mayen+47
  • Sweden+46
  • Switzerland+41
  • Syria+963
  • Taiwan+886
  • Tajikistan+992
  • Tanzania+255
  • Thailand+66
  • Timor-Leste+670
  • Togo+228
  • Tokelau+690
  • Tonga+676
  • Trinidad & Tobago+1
  • Tunisia+216
  • Turkey+90
  • Turkmenistan+993
  • Turks & Caicos Islands+1
  • Tuvalu+688
  • U.S. Virgin Islands+1
  • Uganda+256
  • Ukraine+380
  • United Arab Emirates+971
  • United Kingdom+44
  • United States+1
  • Uruguay+598
  • Uzbekistan+998
  • Vanuatu+678
  • Vatican City+39
  • Venezuela+58
  • Vietnam+84
  • Wallis & Futuna+681
  • Western Sahara+212
  • Yemen+967
  • Zambia+260
  • Zimbabwe+263

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Why do you want to join Clara, and why are you the right fit for this specific role?*

3–5 sentences. Name one thing about this role specifically.

Tell us about something concrete you have built or worked on with AI. Share a link if available:*

A specific example beats a list of tools.

Clarity wins. Can you explain your biggest career win in one sentence?*

Change is constant. What’s the last skill, habit, or mindset you upgraded to stay ahead? *

Absolute ownership is how the best teams run: master your role, then elevate others. Tell us about how you've given it all to win.*

Please share your monthly salary expectation*

Monthly gross base salary, numbers only — pick the currency below.

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Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

You Will:

  • Build AI-powered prospecting & SDR tooling: design and ship agents/workflows that find, qualify, and engage prospects, and that get meetings on AEs' calendars — using tools like Amplemarket, Clay, HubSpot, and LLM APIs, glued together with n8n or custom code.
  • Own lifecycle automation end to end: build and iterate on onboarding, activation, and retention flows across email, WhatsApp, and push, using Customer.io and our internal data stack, with AI doing the heavy lifting on personalization, timing, and content generation.
  • Design the SDR-to-AE handoff as a system, not a manual process: instrument lead scoring, routing, and handoff logic so reps spend time on conversations, not admin.
  • Prototype fast, validate faster: you're expected to go from idea to working internal tool in days, test it against real pipeline/activation metrics, kill what doesn't work, and scale what does.
  • Partner cross-functionally: work directly with Sales, SDR leadership, Lifecycle, and Data/Eng to identify where automation unlocks the most value, and to make sure what you build actually gets adopted.
  • Turn data into iteration: use Metabase, HubSpot, and Customer.io data to measure what your builds are actually doing to CAC payback, meetings booked, activation rate, and pipeline generated — and report on it in plain, honest terms.

Who You Are
We're looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.

Must haves

  • +2 years of hands-on experience building automation, internal tools, or AI-powered products — not just using AI tools, but shipping things that use APIs, LLMs, or agent frameworks to do real work.
  • Experience with workflow/automation platforms (n8n, Zapier, Make, or equivalent) and comfort integrating APIs across systems (CRM, marketing automation, sales tooling).
  • Working familiarity with CRM/lifecycle platforms such as HubSpot, Customer.io, or Salesforce.
  • Enough technical fluency to read/write basic scripts (Python, JavaScript) or work closely with engineers to get something shipped — you don't need to be a software engineer, but you can't be blocked waiting for one.
  • Strong written and verbal communication in English; ability to explain what you built and why it matters to non-technical stakeholders and executives.
  • A bias toward building and testing over planning — you'd rather ship a rough version this week than a perfect spec next month.

Nice to haves

  • Background in Lifecycle Marketing, RevOps, Sales Engineering, Product, or Software Engineering (any of these paths is fine — we care about what you've built, not your job title history).
  • Direct experience with sales engagement/AI prospecting tools (Amplemarket, Clay, Apollo, or similar).
  • Experience working with LLM APIs (OpenAI, Anthropic) and basic prompt engineering.
  • Experience in B2B SaaS or fintech, ideally with an SDR/AE motion.
  • Startup or small-team experience where you owned something end to end, from idea to production.
  • Portuguese proficiency (not required, but useful across our MX/BR/CO/AR footprint).

Why join Clara
At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who We Are

  • We’re the leading B2B fintech for spend management in Latin America.
  • Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
  • Passionate about making Latin America more prosperous and competitive.
  • Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
  • Product-led, high-talent-density culture — designed for builders who raise the bar.
  • Proud of our open, inclusive, and values-driven environment.

What We Believe In

  • #Clarity. We say things clearly, directly, and proactively.
  • #Simplicity. We reduce noise to focus on what really matters.
  • #Ownership. We take responsibility and never wait to be told.
  • #Pride. We build products and experiences we’re proud of.
  • #Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
  • #Inclusivity. Every voice counts. Everyone contributes to our mission.

What We Offer

  • Competitive salary and stock options (ESOP) from day one
  • Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
  • Annual learning budget and internal accelerated development paths
  • High-ownership environment: we move fast, learn fast, and raise the bar — together
  • Smart, ambitious teammates — low ego, high impact
  • Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

244 results found

No results found

  • Afghanistan+93
  • Åland Islands+358
  • Albania+355
  • Algeria+213
  • American Samoa+1
  • Andorra+376
  • Angola+244
  • Anguilla+1
  • Antigua & Barbuda+1
  • Argentina+54
  • Armenia+374
  • Aruba+297
  • Ascension Island+247
  • Australia+61
  • Austria+43
  • Azerbaijan+994
  • Bahamas+1
  • Bahrain+973
  • Bangladesh+880
  • Barbados+1
  • Belarus+375
  • Belgium+32
  • Belize+501
  • Benin+229
  • Bermuda+1
  • Bhutan+975
  • Bolivia+591
  • Bosnia & Herzegovina+387
  • Botswana+267
  • Brazil+55
  • British Indian Ocean Territory+246
  • British Virgin Islands+1
  • Brunei+673
  • Bulgaria+359
  • Burkina Faso+226
  • Burundi+257
  • Cambodia+855
  • Cameroon+237
  • Canada+1
  • Cape Verde+238
  • Caribbean Netherlands+599
  • Cayman Islands+1
  • Central African Republic+236
  • Chad+235
  • Chile+56
  • China+86
  • Christmas Island+61
  • Cocos (Keeling) Islands+61
  • Colombia+57
  • Comoros+269
  • Congo - Brazzaville+242
  • Congo - Kinshasa+243
  • Cook Islands+682
  • Costa Rica+506
  • Côte d’Ivoire+225
  • Croatia+385
  • Cuba+53
  • Curaçao+599
  • Cyprus+357
  • Czechia+420
  • Denmark+45
  • Djibouti+253
  • Dominica+1
  • Dominican Republic+1
  • Ecuador+593
  • Egypt+20
  • El Salvador+503
  • Equatorial Guinea+240
  • Eritrea+291
  • Estonia+372
  • Eswatini+268
  • Ethiopia+251
  • Falkland Islands+500
  • Faroe Islands+298
  • Fiji+679
  • Finland+358
  • France+33
  • French Guiana+594
  • French Polynesia+689
  • Gabon+241
  • Gambia+220
  • Georgia+995
  • Germany+49
  • Ghana+233
  • Gibraltar+350
  • Greece+30
  • Greenland+299
  • Grenada+1
  • Guadeloupe+590
  • Guam+1
  • Guatemala+502
  • Guernsey+44
  • Guinea+224
  • Guinea-Bissau+245
  • Guyana+592
  • Haiti+509
  • Honduras+504
  • Hong Kong SAR China+852
  • Hungary+36
  • Iceland+354
  • India+91
  • Indonesia+62
  • Iran+98
  • Iraq+964
  • Ireland+353
  • Isle of Man+44
  • Israel+972
  • Italy+39
  • Jamaica+1
  • Japan+81
  • Jersey+44
  • Jordan+962
  • Kazakhstan+7
  • Kenya+254
  • Kiribati+686
  • Kosovo+383
  • Kuwait+965
  • Kyrgyzstan+996
  • Laos+856
  • Latvia+371
  • Lebanon+961
  • Lesotho+266
  • Liberia+231
  • Libya+218
  • Liechtenstein+423
  • Lithuania+370
  • Luxembourg+352
  • Macao SAR China+853
  • Madagascar+261
  • Malawi+265
  • Malaysia+60
  • Maldives+960
  • Mali+223
  • Malta+356
  • Marshall Islands+692
  • Martinique+596
  • Mauritania+222
  • Mauritius+230
  • Mayotte+262
  • Mexico+52
  • Micronesia+691
  • Moldova+373
  • Monaco+377
  • Mongolia+976
  • Montenegro+382
  • Montserrat+1
  • Morocco+212
  • Mozambique+258
  • Myanmar (Burma)+95
  • Namibia+264
  • Nauru+674
  • Nepal+977
  • Netherlands+31
  • New Caledonia+687
  • New Zealand+64
  • Nicaragua+505
  • Niger+227
  • Nigeria+234
  • Niue+683
  • Norfolk Island+672
  • North Korea+850
  • North Macedonia+389
  • Northern Mariana Islands+1
  • Norway+47
  • Oman+968
  • Pakistan+92
  • Palau+680
  • Palestinian Territories+970
  • Panama+507
  • Papua New Guinea+675
  • Paraguay+595
  • Peru+51
  • Philippines+63
  • Poland+48
  • Portugal+351
  • Puerto Rico+1
  • Qatar+974
  • Réunion+262
  • Romania+40
  • Russia+7
  • Rwanda+250
  • Samoa+685
  • San Marino+378
  • São Tomé & Príncipe+239
  • Saudi Arabia+966
  • Senegal+221
  • Serbia+381
  • Seychelles+248
  • Sierra Leone+232
  • Singapore+65
  • Sint Maarten+1
  • Slovakia+421
  • Slovenia+386
  • Solomon Islands+677
  • Somalia+252
  • South Africa+27
  • South Korea+82
  • South Sudan+211
  • Spain+34
  • Sri Lanka+94
  • St. Barthélemy+590
  • St. Helena+290
  • St. Kitts & Nevis+1
  • St. Lucia+1
  • St. Martin+590
  • St. Pierre & Miquelon+508
  • St. Vincent & Grenadines+1
  • Sudan+249
  • Suriname+597
  • Svalbard & Jan Mayen+47
  • Sweden+46
  • Switzerland+41
  • Syria+963
  • Taiwan+886
  • Tajikistan+992
  • Tanzania+255
  • Thailand+66
  • Timor-Leste+670
  • Togo+228
  • Tokelau+690
  • Tonga+676
  • Trinidad & Tobago+1
  • Tunisia+216
  • Turkey+90
  • Turkmenistan+993
  • Turks & Caicos Islands+1
  • Tuvalu+688
  • U.S. Virgin Islands+1
  • Uganda+256
  • Ukraine+380
  • United Arab Emirates+971
  • United Kingdom+44
  • United States+1
  • Uruguay+598
  • Uzbekistan+998
  • Vanuatu+678
  • Vatican City+39
  • Venezuela+58
  • Vietnam+84
  • Wallis & Futuna+681
  • Western Sahara+212
  • Yemen+967
  • Zambia+260
  • Zimbabwe+263

Paste the full URL, e.g. linkedin.com/in/your-name

City and country, e.g. Bogotá, Colombia

3–5 sentences. Name one thing about this role specifically.

A specific example beats a list of tools.

Monthly gross base salary, numbers only — pick the currency below.

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Machine Learning Engineer

Graduate data scientist

Bending Spoons

Удалённоparttimejunior

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Описание вакансии

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

  • Design and improve data pipelines.
    Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
  • Ensure data correctness and scalability.
    Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
  • Develop internal data products and tooling.
    Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
  • Support platform-wide decision-making.
    Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
  • Leverage AI to accelerate work and uncover insights.
    Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.

What we look for

  • Reasoning ability.
    Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive.
    You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit.
    You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English.
    You read, write, and speak proficiently in English.

What we offer

  • Incredibly talented, entrepreneurial teams.
    You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth.
    We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • All. These. Benefits.
    Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  • Competitive pay and access to company equity at a discount.
    Typical annual salary offers range from £85,797 to £151,436 in London and from €66,065 to €107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to £316,052 in London or €240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity.

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

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Machine Learning Engineer

AI ENGINEER

Heinsohn

Удалённо

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Описание вакансии

At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth.

We are looking for a
AI Engineer specialized in Agentic AI
to join our team and bring expertise that will contribute to the success of high-impact international projects.

✨ Responsibilities

  • Design and develop Agentic AI solutions focused on process automation and solving complex problems.
  • Develop and implement AI agents using Google Cloud Vertex AI and/or Azure AI Agents.
  • Integrate AI models and services into enterprise applications and solutions.
  • Contribute to the design, development, and continuous improvement of AI agent-based architectures.
  • Collaborate with technical and business teams to identify opportunities for applying artificial intelligence.
  • Develop scalable and reliable solutions leveraging cloud-based AI technologies.

NOTE: PER HOURS
✅ Requirements

  • 3+ years of Professional experience developing Artificial Intelligence solutions.
  • Proven experience with Agentic AI / AI Agents.
  • Hands-on experience with Google Cloud Vertex AI and/or Azure AI Agents.
  • Knowledge of developing and integrating solutions based on AI models.
  • Ability to design solutions focused on automation and autonomous task execution.
  • Strong analytical and problem-solving skills.
  • English B2 or higher for communication with international teams and clients.

🌟 Benefits

  • 100% remote work from any LATAM country
  • Opportunity to work on international projects with multicultural teams
  • Culture that encourages professional development and continuous learning
  • Spaces for innovation, well-being, and career growth

Ready to take your talent to the next level?
At Heinsohn, we value innovation, passion for technology, and teamwork. If this sounds like your next challenge, apply today and let’s make history together! ✨

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Machine Learning Engineer

Senior Software Engineer - AI

Beyond

Удалённоsenior

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Описание вакансии

As our hiring team is international, we kindly ask that you submit your CV in English to ensure it can be reviewed by all stakeholders.

Work where work matters.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you'll be proud to tell your friends about.

We are looking for a
Senior AI Engineer
with deep expertise in Vertex AI, Python, and Large Language Models to join our Americas team. In this role, you will be responsible for architecting and deploying the production-grade AI solutions that power next-generation intelligent applications for our enterprise clients in North America. Based in Argentina, you will act as a core technical pillar for the region, bridging the gap between client requirements and high-performance delivery. You will focus on engineering excellence, specifically in the realms of generative AI, RAG architectures, and agentic systems, while collaborating with our global engineering teams in Europe.

We look for people who embody:

Innovation
to solve the hardest problems.

‍
Accountability
for every result.

‍
Integrity
always.

About The Role

  • Architect AI Solutions:
    Build and deploy production-grade AI features, including RAG (Retrieval-Augmented Generation) pipelines, LLM orchestrations, and Agentic workflows using Vertex AI.
  • Develop Core Logic:
    Write clean, maintainable, and highly efficient code in Python to support AI model integration and data-intensive applications.
  • Optimize Model Performance:
    Fine-tune models for specific business logic and optimize LLM prompts to ensure accuracy, relevance, and safety for enterprise use cases.
  • Engineer Data Sources:
    Optimize and manage data sources and vector databases to ensure high-quality retrieval for context-aware AI systems.
  • Collaborate Globally:
    Work closely with US-based product owners and European delivery teams, requiring a proactive communication style and flexibility for early-morning syncs.
  • Ensure Quality:
    Champion best practices in AI observability, evaluation frameworks, and automated testing to ensure the reliability of enterprise-level deployments.
  • Consult with Clients:
    Partner with clients to develop new AI concepts and enhancements, translating business goals into technical AI roadmaps.

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend regular quality time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

What Success Looks Like

  • Engineering Experience:
    Extensive professional experience in software engineering, with a significant focus on AI/ML implementation.
  • AI/ML Integration:
    Mastery of the Vertex AI ecosystem and proven experience integrating LLMs into production-grade applications.
  • Python Expertise:
    Mastery of the Python ecosystem, specifically libraries used for AI development and data manipulation.
  • GCP Proficiency:
    Hands-on experience with Google Cloud Platform services, specifically Vertex AI, BigQuery, and Cloud Functions.
  • DevOps Skills:
    Proficiency with Docker and CI/CD pipelines as they apply to MLOps workflows.
  • Communication:
    Fluent English skills with the ability to discuss technical trade-offs clearly with both peers and stakeholders.

Nice to Have

  • AI Frameworks:
    Deep experience with LangChain or LlamaIndex.
  • Data Engineering:
    Understanding of data pipelines and ETL processes to support AI model training and retrieval.
  • Advanced RAG:
    Experience with sophisticated retrieval techniques and vector search optimization.
  • Certifications:
    GCP Professional Machine Learning Engineer.

Our Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

  • OSDE 210 for family group
  • Work from Home Allowance - (50 USD varies from company to company)
  • Birthday leave
  • 10 paid learning days per year
  • Bonusly 100 points per month to recognise colleagues

Diversity and Inclusion

At Beyond, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

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Machine Learning Engineer

Automation & AI Analyst

PayJoy

Удалённо

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Описание вакансии

About PayJoy
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role
The AI and Automation Analyst is responsible for designing, building, and deploying AI-powered solutions and automations that streamline processes, reduce manual work, and unlock new capabilities across PayJoy. Acting as the bridge between business needs and applied AI/automation technology, this role identifies opportunities, develops and integrates models, agents, and workflow automations, and ensures they run reliably and responsibly in production. Ultimately, the engineer turns repetitive tasks and complex problems into scalable, intelligent solutions that improve efficiency, decision-making, and customer experience.

Responsibilities

  • Identify, design, and build AI/ML and automation solutions (e.g., LLM-based applications, agents, RPA, and workflow automations) that address business needs and reduce manual effort.
  • Develop, integrate, and deploy models and automation workflows into production, connecting them with existing systems, data sources, and APIs.
  • Build and maintain prompt engineering, retrieval (RAG), and evaluation pipelines to ensure the quality, accuracy, and reliability of AI outputs.
  • Monitor, test, and improve deployed solutions tracking performance, cost, latency, and accuracy iterating based on feedback and metrics.
  • Partner with business and technical stakeholders to gather requirements, prioritize use cases, document solutions, and enable teams to adopt them.
  • Apply responsible-AI, security, and compliance best practices (data privacy, bias mitigation, access controls, PII protection), coordinating with Security/IT and Data as needed.

Qualifications
The following requirements support successful performance in the role. Attributes that could be considered discriminatory are intentionally avoided.

  • Software / tools: Proficiency in Python; experience with AI/ML frameworks and LLM APIs (e.g., OpenAI, Anthropic), plus automation/orchestration tools (e.g., n8n, Make/Zapier, Airflow) and workflow/RPA platforms. Familiarity with a major cloud (GCP/AWS/Azure), APIs/webhooks, and version control (Git).
  • Specific knowledge: Applied machine learning and generative-AI concepts (prompting, RAG, embeddings, fine-tuning), agent frameworks, integration patterns, and building and monitoring solutions in production. Experience in fintech or high-volume environments is valued.
  • Expected results: Reliable, well-documented AI and automation solutions in production that measurably reduce manual work, improve process efficiency, and deliver accurate, trustworthy outputs.
  • Skills: Strong analytical and problem-solving skills, curiosity and fast learning in a rapidly evolving field, attention to detail, clear communication of technical concepts, and collaboration across business and technical teams.
  • Desirable (not essential): Experience with vector databases, MLOps/LLMOps, and data engineering or integrations; the Zoho ecosystem or similar platforms; intermediate/advanced English (Portuguese a plus); and prior experience in a similar AI / Automation Engineer role.

Benefits

  • Benefits may vary by country
  • 100% Company Funded : Private Health Insurance for employee and immediate family
  • 20 days vacation, unlimited sick leave
  • $2,000 USD annual Co-working Travel perk
  • $2,000 USD annual Professional Development perk
  • Phone Finance, headphone benefit, home office equipment allowance and wellness perks

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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AI Growth Automation Engineer - Buenos Aires (Hybrid)StartX Med

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AI Growth Automation Engineer - Buenos Aires (Hybrid) — StartX Med | mentors.coach