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Fullstack Engineer

Fullstack Engineer

AI Architect (Voice AI)

Neurons Lab

Remote

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Role description

About The Project (description, Duration, Stage)
The client is the largest US network of in-home veterinary hospice and end-of-life care. A major US private-equity sponsor drives the AI program and plans more projects across its portfolio.

We built a real-time voice copilot for their Veterinary Care Coordinators (VCCs). The copilot listens to live calls with pet families. It extracts appointment and clinical fields while the call runs. It fills the client's scheduling system through a Chrome extension. A second workstream, the
Vet Visit Copilot
, sends each vet an AI pre-visit briefing by email (Amazon SES).

Next is the
production phase
.

Stage:
production SOW in executive alignment; start expected September 2026.

Duration:
multi-month, with strong extension probability. 0.5 FTE minimum; ramp toward 1.0 FTE as production scales.

Why the role is open:
the current architect moves to another strategic build. He stays at
0.15–0.2 FTE for supervision and knowledge transfer
during ramp-up, so the new architect gets a structured handover.

Objective

  • Own the technical architecture and delivery of the voice copilot from validated PoC to production
  • Hit the bar this client tests against: latency, accuracy, concurrency, and cost
  • Keep expectations aligned: production polish is in scope now; protect the team from silent scope creep
  • Transfer knowledge continuously to the client's team and Neurons Lab engineers

Areas of Responsibility
Technical architecture & hands-on implementation

  • Own the full pipeline: streaming speech-to-text, LLM field extraction, Chrome-extension delivery, and AWS infrastructure
  • Drive latency work: cut P95 from ~6s toward ~2s; remove post-processing corner cases (occasional ~1min lag on one field type)
  • Run model A/B tests (current pair: Claude Haiku vs GPT Luna) with golden-set evaluation for phonetic name and email accuracy
  • Own evaluation and cost: Langfuse traces, accuracy dashboards, real per-call cost from live calls, and an optimization plan
  • Harden for production: 5–10+ concurrent calls, strict data isolation between users, monitoring, alerting, and safe rollback
  • Ship epics end to end (example: the SES email briefing service); always keep a demo fallback so a live session never fails

Working with client stakeholders

  • Front technical discussions with a meticulous client; VCCs test edge cases and expect production quality
  • Present concrete system behavior, with numbers — this account rewards evidence, not slides
  • Hold the scope line: tie every feedback item to the SOW; route roadmap items (learning loop, persistent memory) to future phases
  • Keep internal discussions internal; all client-facing materials pass ADM review before sending

Team & knowledge

  • Lead the AI Engineer and the pod: set tasks, review output, unblock fast
  • Absorb the handover from the outgoing architect (0.15–0.2 FTE supervision window) and become independent fast
  • Run knowledge-transfer sessions; the project must have no single point of failure
  • Support the production SOW with estimates and architecture options when the account team asks

Skills

  • Real-time voice pipelines: streaming STT, turn handling, low-latency LLM inference — hands-on
  • LLM engineering: prompt engineering, structured extraction, guardrails, model A/B evaluation
  • Observability and evals: Langfuse or similar; golden datasets; latency, accuracy, and cost dashboards
  • AWS: Bedrock, serverless patterns, SES; token economics and per-call cost engineering
  • Full-stack pragmatism: strong Python; enough TypeScript / Chrome-extension knowledge to own the integration
  • Clear spoken and written English for demanding US executives

Knowledge

  • Contact-center / agent-assist patterns and metrics (handle time, cost per call, concurrency)
  • Production LLM operations: load testing, data isolation, incident handling
  • Nice to have: empathy-sensitive domains (healthcare, veterinary, insurance) and PE-sponsored rollouts

Experience
Key characteristics (screen for all four):

  • Voice AI in production — mandatory. Shipped at least one real-time voice or speech product to real users (agent assist, voice bot, live transcription copilot). Candidates will demo real artifacts at the interview.
  • 6+ years hands-on AI/ML engineering, with strong recent LLM production practice
  • Latency and reliability record. Can show measured P95 reductions and concurrency fixes on a live system
  • Consulting / client-facing seniority. Calm and precise under detailed UAT scrutiny; manages expectations well

Nice to have:

  • Chrome extension delivery; telephony / streaming stacks (Amazon Connect, Twilio, LiveKit)
  • Langfuse in production
  • US client experience with Eastern-time overlap

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Fullstack Engineer

Senior Embedded Softwareentwickler Rust/C++ (m/w/d)

SPECTRUM AG

Remotesenior

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Role description

Senior Embedded Softwareentwickler Rust/C++ (m/w/d)

Standort: Berlin

Start: Ab September 2026

Unternehmensprofil

Das Unternehmen mit Hauptsitz in München ist ein global agierender Anbieter von Lösungen in den Bereichen Elektro-, Test- und Messtechnik sowie Kommunikationstechnologie. Das Unternehmen bietet ein breites Spektrum an Produkten, darunter Testgeräte für Elektronik, Funkkommunikation, Satellitenkommunikation und Netzwerke. Diese Produkte werden von Unternehmen in verschiedenen Branchen eingesetzt, darunter Luft- und Raumfahrt, Verteidigung, Telekommunikation, Automobilindustrie und Elektronik.

Aufgaben

  • Bring-up und Plattform-Integration: Inbetriebnahme neuer Hardware-Plattformen (Boot-Kette, Peripherie sowie SoC- und FPGA-Anbindung)

  • Treiber- und HAL-Entwicklung: Schnittstellen zu RF-Hardware, Peripherie sowie Mess- und Steuerungskomponenten in Rust und C/C++23

  • Implementierung von Anwendungssoftware: Fullstack bis zur Geräte-UI/API auf Linux-Embedded-Basis

  • HW/SW-Debugging: Fehleranalyse mit Logic Analyzer, JTAG und Oszilloskop in enger Zusammenarbeit mit der Hardware-Entwicklung

  • Umsetzung von FPGA/SoC-Schnittstellen: Kommunikation mit FPGA-Firmware, Register-Maps, DMA und Interrupt-Handling

  • Nutzung KI-gestützter Entwicklung: produktives Arbeiten mit AI-Coding-Tools sowie Teilen bewährter Verfahren im Team

Qualifikationen

  • Abgeschlossenes Studium der Elektrotechnik, Informatik oder einer vergleichbaren Fachrichtung

  • Mehrjährige Erfahrung (ab ca. 5 Jahre) in der Embedded-Fullstack-Entwicklung mit hardwarenahem Schwerpunkt

  • Solide Praxis in Rust und C/C++ (C++23)

  • Sicherer Umgang mit Linux (Yocto/Buildroot)

  • Erfahrung mit Bring-up, Treiber-/HAL-Entwicklung und Peripherie-Integration

  • Erfahrung mit FPGA-/SoC-/MCU-Schnittstellen (Register, DMA, Interrupts)

  • Sicheres HW/SW-Debugging mit Laborgeräten

  • Verständnis für saubere Softwareentwicklung: modulare Architektur, reproduzierbare Builds und nachvollziehbare Abhängigkeitsverwaltung

  • Aktive Nutzung von KI-Coding-Tools im Entwicklungsalltag

  • Sehr gute Deutsch- und Englischkenntnisse (das Team arbeitet überwiegend auf Deutsch, technische Dokumentation teils auf Englisch)

Zusätzliche Informationen & Benefits

  • 40 Stunden pro Woche

  • Bis zu 60 % Homeoffice möglich

  • 30 Tage Urlaub

  • Spannende Tätigkeiten in einem faszinierenden Hightech-Unternehmen und einer innovativen Branche

  • Umfassende Einarbeitung und ein offenes, internationales Arbeitsumfeld

Kontakt

Wir freuen uns auf deine Bewerbung. Bei Fragen kannst du uns gerne kontaktieren:

SPECTRUM AG | Schulze-Delitzsch-Str. 41 | 70565 Stuttgart.

ID #2160

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Fullstack Engineer

Développeuse / Développeur mobile - Stage

Capgemini

Remoteparttimelead

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Role description

Choisir Capgemini, c'est choisir une entreprise où vous serez en mesure de façonner votre carrière selon vos aspirations. Avec le soutien et l'inspiration d'une communauté d’experts dans le monde entier , vous pourrez réécrire votre futur . Rejoignez nous pour redéfinir les limites de ce qui est possible, contribuer à libérer la valeur de la technologie pour les plus grandes organisations et participer à la construction d’un monde plus durable et inclusif

Vos missions

Vous interviendrez sur les missions suivantes :

Contribuer à des projets de transformation digitale en environnement Agile.

Concevoir et développer des applications mobiles.

Rédiger la documentation technique associée.

Développer et intégrer des solutions mobiles natives, hybrides et cross-platform.

Définir l'ergonomie mobile selon les bonnes pratiques UX/UI.

Intervenir sur les technologies Swift, Kotlin, Xamarin, Ionic, Cordova et JEE.

Cette description n’est pas limitative. Elle peut tout à fait évoluer en fonction de votre expérience, des projets en cours et de vos attentes.

Votre profil

En M1/M2 en développement informatique

Connaissance sur IOS/Androoid

Capacité d’analyse, de synthèse et de présentation.

Aisance en anglais (B2 minimum)

3 Raisons de nous rejoindre

Avantages groupe :
bénéficiez d’un ensemble d’avantages tels que les primes de cooptation, tickets restaurant, ainsi que des activités sociales et culturelles variées proposées par le CSE. Des dispositifs d’accompagnement à la parentalité, comme le temps partiel à 90% pendant les vacances scolaires, sont également disponibles, ainsi que de nombreux autres avantages issus de nos accords collectifs.

Qualité de vie au travail :
profitez d’un équilibre entre vie professionnelle et personnelle, d’une possibilité de télétravailler (en France et à l’international), ainsi que des dispositifs de santé et bien-être (ligne d'écoute, plateforme dédiée...).

Environnement inclusif :
rejoignez des réseaux engagés comme Women@Capgemini, Parents@Capgemini, OUTfront ou CapAbility, et évoluez dans un cadre certifié EDGE+ et reconnu par le Bloomberg Gender Equality Index.

Happy Trainees :
notre engagement envers les jeunes talents est reconnu dans le classement HappyTrainees, preuve que chez nous, les stagiaires et alternants ne viennent pas juste apprendre… ils viennent s’épanouir !

Notre engagement et priorités

Le groupe Capgemini encourage une culture inclusive dans un cadre multiculturel et handi-accueillant. En nous rejoignant, vous intégrez un collectif qui valorise la diversité, développe le potentiel de ses talents, s’engage dans des initiatives solidaires avec ses partenaires, et se mobilise pour réduire son impact environnemental sur tous ses sites et auprès de ses clients.

A propos de Capgemini

Capgemini est un leader mondial, responsable et multiculturel, regroupant près de 350 000 personnes dans plus de 50 pays. Fort de 55 ans d’expérience, nous sommes un partenaire stratégique des entreprises pour la transformation de leurs activités en tirant profit de toute la puissance de la technologie et des innovations dans les domaines en perpétuelle évolution tels que le cloud, la data, l’Intelligence Artificielle, la connectivité, les logiciels, l’ingénierie digitale ou les plateformes.

Capgemini, partenaire de la transformation business et technologique de ses clients, les accompagne dans leur transition vers un monde plus digital et durable, tout en créant un impact positif pour la société. Le Groupe, responsable et multiculturel, rassemble 340 000 collaborateurs dans plus de 50 pays. Depuis plus de 55 ans, ses clients lui font confiance pour répondre à l'ensemble de leurs besoins grâce à la technologie. Capgemini propose des services et solutions de bout en bout, allant de la stratégie et du design jusqu'à l'ingénierie, en tirant parti de ses compétences de pointe en intelligence artificielle et IA générative, en cloud, et en data, ainsi que de son expertise sectorielle et de son écosystème de partenaires.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Fullstack Engineer

Expert Adobe AEM Assets

Accenture France

Remote

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Role description

Imaginez, transformez et impactez le monde positivement : venez vivre au cœur du changement en tant que Marketing transformation Manager.

Vos principales missions :

Vous interviendrez sur différents types de mission, de l’élaboration d’une vision jusqu’au lancement des projets de transformation stratégiques de clients, en lien avec nos expertises déclinées :

  • Déployer et configurer Adobe Experience Manager (AEM) Assets dans un contexte multisite / multimarque.

  • Structurer et administrer le DAM : taxonomies, métadonnées, droits, cycles de vie, policies de gouvernance.

  • Intégrer le DAM avec les systèmes existants (CMS, PIM, Web, Mobile, Marketing automation…).

  • Concevoir et industrialiser les workflows de validation, de publication et de réutilisation des assets

  • Définir la gouvernance des assets et mettre en place des workflows de validation.

  • Garantir la performance, la sécurité et la scalabilité de la solution.

  • Participer à la conduite du changement, accompagner les équipes, former les utilisateurs et produire la documentation.

Contribuer en tant que référent aux meilleures pratiques Adobe, aux guidelines globales et à la roadmap

Vous construisez une carrière agile, grâce à la formation, aux certifications et aux feedbacks reçus pour chacune de vos réalisations. Nos équipes apprennent chaque jour avec les meilleurs experts en France et à l’international.

Vous évoluez dans un environnement de travail flexible qui vise à favoriser l’équilibre entre vie professionnelle et vie personnelle : le télétravail donne la possibilité d’adapter son rythme professionnel en fonction des actualités de l’équipe et du projet.

Nous vous proposons de vivre l’expérience du changement auprès de nos équipes, rejoignez Accenture.

Compétences requises :

  • Maîtrise experte d’Adobe AEM Assets : configuration avancée, administration, Asset Compute, Smart Tags, recherche, gestion large-scale.

  • Très bonne connaissance des API Adobe, connecteurs, intégrations REST / GraphQL, et des architectures headless.

  • Expérience démontrée sur des projets digitaux complexes : multisite, haute volumétrie, gouvernance à l’échelle.

  • Compréhension solide des environnements Cloud (Adobe Cloud Manager / DevOps).

  • Anglais professionnel (écrit/oral).

Soft Skills :

  • Forte capacité à collaborer avec des équipes hybrides : marketing, contenus, data, IT, agences.

  • Orientation client et sens du conseil, capacité à challenger et évangéliser les bonnes pratiques DAM.

  • Rigueur, autonomie, capacité à prioriser dans un environnement exigeant.

  • Excellent sens de la communication pour dialoguer aussi bien avec des profils métiers que techniques.

  • Esprit analytique, posture de problème-solver

A propos de nous :
Accenture, c'est une communauté de plus de 770 000 talents et une mission commune : réaliser la promesse technologique alliée à l’ingéniosité humaine.

Dans un monde en perpétuel changement, nous accélérons la transformation des plus grandes entreprises, de la stratégie à la réalisation des projets, à l’aide des technologies de demain et dynamisons leur croissance grâce à l'expertise multi-sectorielle de nos experts.

Nos recrutements sont fondés sur les compétences, sans distinction d’origine, d’âge, ou de genre et tous nos postes sont ouverts aux personnes en situation de handicap.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Fullstack Engineer

Senior Product Engineer (DevTools & AI reliability, remote)

Checkly

Remotecontractsenior

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Role description

(Fully remote, async-first, DevTools SaaS, 32-40h/week, time zones: UTC-3 to UTC+3)
The best developers don't wait for a customer to tell them something's broken.

They catch it first, in the pull request, in staging, or in the checkout flow at 3am, before a single user notices. That instinct is Checkly's whole reason to exist. We give developers and their agents the tools to own reliability the way they own their code: end-to-end tests and synthetic monitoring defined as code, powered by OpenTelemetry and Playwright, versioned and reviewed like everything else they ship. From pull request to post-mortem, in one place.

Thousands of them, from modern AI companies like Mistral and resolve.ai to large engineering orgs like LinkedIn, Citi, and 1Password, build with us. In 2024 we raised $20M in Series B funding from Balderton, CRV and Accel.

Here's the thing about 2026: AI agents and coding assistants are shipping more software, faster, than any team could review by hand, and more of it is breaking in ways nobody has seen before. LLM-backed features fail probabilistically. Agents take actions no runbook anticipated. "Is my app healthy?" is becoming an unanswerable question for a whole generation of AI-native software. You will build reliability for this kind of software.

Our stack is AI (Codex, Claude, use what you like best), Vue.js, TypeScript, Node.js, Golang, Postgres, ClickHouse and AWS. We ship to prod all day, every day. We practice Agile (not scrum) and take pride in good documentation and good looking products.

We’re a remote-first startup that keeps things simple—low on meetings, high on productivity, and always shipping. If you love building cool things, working async, actually listening to and working with customers, and keeping it lean, you’ll fit right in!

What You'll Do
Build and ship with AI
You will actively use coding agents for full stack development, from exploring solutions and generating scaffolding to refactoring, test generation and debugging. At Checkly we push the limits of AI tools every day.

Talk to our users
You will talk directly to the developers, DevOps and Site Reliability Engineering (SRE) teams who are on-call, debugging incidents, or wiring Checkly into production pipelines. You will understand their workflows, pain points, and feedback. You use those conversations to validate ideas, course-correct early, and iterate on what you build. Customer calls and the weekly support rotation are part of the job, not a distraction from it.

Find the right problems to solve
In a world where the cost of building software trends to zero, the hard part is picking what to build. You will focus on real developer pain: flaky tests and flaky checks, unclear failures, noisy alerts. You will favour pragmatic solutions that ship quickly, validate assumptions in production, and compound into long-term reliability improvements.

Own your work end to end
From shaping the initial idea, through implementation and rollout, to watching how it behaves in production. You will take part in on-call and help support customers when things don’t work as expected.

What You Should Have

  • You have shipped features with AI, not just experimented with them. You have taken work from zero to shipped with a comparable stack, made implementation decisions that held up, and put things in front of real users.
  • You have built and run production software. You know the realities of operating software that people depend on: edge cases, incidents, regressions, and the need for observability and follow-up. You are not surprised when things break. You help fix them.
  • You can hold a product conversation, not just a technical one. You can look at a customer problem and reason about whether the thing we are about to build actually solves it.
  • You work well without an office around you. You are autonomous and self-motivated in a remote setup, and you still enjoy getting to know your colleagues and helping other people get unstuck.
  • FULLY remote role, within the UTC-3 to UTC+3 time zones. You need to be able to travel to (other) European countries without having to wait for a visa appointment, for our annual kickoff, a team meetup or a conference.

What You Will Hate About Us
We would rather tell you now than have you find out in month two.

  • We use AI for everything, and we mean everything. AI skepticism is not a thing here. If you have the slightest hesitation about working with AI every day, this is not the place for you, and that is completely fine.
  • We write more than we talk. We are async-first, so a lot of decisions happen in documents and threads, not meetings. If you do your best thinking out loud in a room full of people, you will miss it here.
  • We are lean, so you own the unglamorous parts too. There is no separate QA team, no ops layer to hand things off to, and you are on the support rotation and the on-call rotation like everyone else.
  • We ship constantly and change our minds. Priorities move as we learn from customers. If you need long, stable planning cycles, this will feel chaotic.
  • Customer signals come first, and most of the time they matter more than your instinct. We build what customers actually want, not the clever thing we dreamed up.

Benefits

  • Transparent salary because your salary shouldn't be dictated by how good a negotiator you are. (more info below)
  • Remote-first, flexible work hours, async-first (low meeting, high productivity) and transparent culture
  • Become part of a fast-growing, international, and remote team where your work matters, and your impact won't get lost in layers of bureaucracy.
  • Stock options
  • 27 days of paid vacation + your local public holidays
  • Paid sick leave & up to 14 weeks of paid parental leave
  • Co-working budget or home office setup
  • Annual company kickoffs
  • Employee & contractor options

Find out more here.

What We Pay
Fair, competitive, and transparent pay is very important for us. Therefore we work with a standardized salary calculator that includes several factors such as seniority level as well as location.

For this role, the range is

  • €88k - €105k for someone in a similar cost of market as UK, Germany etc, + stock options
  • €79k - €97k for someone in a similar cost of market as Spain, Poland, Ukraine etc, + stock options

Apply
If this sounds interesting, please apply! Studies by several different sources have shown that on average men will apply for a job if they meet 60% of the application requirements. Women, non-binary people and POC will seek to match a much higher percentage of requirements before applying. If you're not sure you're the right fit, apply anyway and let us know what you bring to the table. We'd love to hear from you!

We're all about being transparent and setting clear expectations. That's why we've put together our hiring playbook and open-sourced our employee handbook. There you'll find a sneak peek of who we are, how we work and what you can expect in our hiring process.

Compensation Range: €79K - €105K

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

40 more openings in this category and country

AI Architect (Voice AI)Neurons Lab

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