AI Engineer

About Wirestock

Wirestock is one of the leading data platforms for ethically sourced multimodal data. We serve some of the world’s top AI labs, including several foundation models, by providing high-quality, fully licensed training datasets. As the AI data landscape undergoes a major shift, we are scaling rapidly to meet rising demand for curated visual data.

Role Description

Join Wirestock as a Software Engineer and help us build scalable backend services in C# and .NET while managing AWS infrastructure with CDK. You will design event-driven microservices, optimize databases, and drive performance improvements. If you’re passionate about building scalable systems that power the future of AI, we’d love to hear from you.

Responsibilities

• Develop and maintain scalable backend services in C# and .NET
• Architect and implement event-driven microservices using RabbitMQ
• Manage AWS infrastructure with CDK, leveraging services like EC2, EKS, and RDS
• Design and implement RESTful APIs with a focus on security, performance, and scalability
• Apply OOP principles, SOLID best practices, and Clean Architecture
• Optimize SQL and NoSQL databases for performance and reliability
• Deploy containerized applications with Docker and Kubernetes
• Implement CI/CD pipelines using GitLab CI to automate deployments
• Identify and resolve performance bottlenecks across systems and applications
• Lead, mentor, and collaborate with cross-functional teams to ensure project success
• Monitor and troubleshoot system health using Grafana, Prometheus, CloudWatch, and Grafana Tempo
• Write and maintain unit, integration, and end-to-end tests

Requirements

• 6+ years of experience in software engineering with backend technologies
• Strong expertise in C# and scalable application development
• Proven experience with microservices and event-driven architecture (RabbitMQ or similar)
• Solid understanding of OOP, SOLID principles, design patterns, and DDD
• Experience with Infrastructure as Code using AWS CDK or Terraform
• Skilled in asynchronous programming and RESTful API design
• Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB)
• Strong problem-solving and performance optimization skills
• Experience mentoring and leading development teams
• Excellent communication and collaboration abilities

Nice to Have

• DevOps (Docker, Kubernetes, Terraform)
• Experience in performance monitoring tools (Prometheus, CloudWatch)

What We Offer

• A collaborative environment where quality and engineering excellence are top priorities
• The chance to work on products with real impact on a global creative community
• Competitive salary and equity options
• 50 work-from-home days annually
• A fast-growing company with a flat structure and strong team culture

About Wirestock

Wirestock is one of the leading data platforms for ethically sourced multimodal data. We serve some of the world’s top AI labs, including several foundation models, by providing high-quality, fully licensed training datasets. As the AI data landscape undergoes a major shift, we are scaling rapidly to meet rising demand for curated visual data.

About the Role

We are seeking a Data Engineer to join our Data Engineering team and support Wirestock's data infrastructure. This role involves core Data Engineering responsibilities, including building, optimizing, and maintaining scalable data pipelines and a structured data ecosystem.

You will be responsible for transforming raw data into actionable intelligence, analyzing large-scale datasets, and generating insights to support internal teams, including product, content operations, partnerships, and executive leadership.

Key Responsibilities

• Troubleshoot and resolve production data pipeline issues and data quality concerns.
• Analyze and troubleshoot data ingestion and processing failures using technical logs, system outputs, and internal tools.
• Manage and manipulate structured and unstructured data formats, including reviewing and authoring complex JSON configurations for data transformations.
• Perform advanced SQL and NoSQL querying (MySQL, MongoDB) for complex data analysis, integrity checks, and system validation.
• Utilize AWS services (S3) for data governance, retrieval, and management within the data infrastructure.
• Conduct deep-dive data analysis to extract actionable insights that inform product and operational decisions.
• Develop, maintain, and optimize robust data visualizations and dashboards for internal stakeholders.
• Collaborate with Data Engineering, Product, and other teams to define data needs and design scalable reporting solutions.
• Actively contribute to the design, optimization, and documentation of ETL/ELT data pipelines and data governance processes.

Requirements

• 4+ years of hands-on experience in a Data Engineering role.
• Expertise in relational and NoSQL databases, specifically MySQL and MongoDB.
• Advanced SQL proficiency for data manipulation and performance tuning.
• Strong working knowledge of AWS services, particularly S3.
• Proven ability to read, author, and troubleshoot complex JSON configurations.
• Proficiency in Python (or similar scripting language) for data processing and analysis tasks.
• Experience with ETL/ELT concepts and contributing to a modern data platform environment.
• Solid understanding of data modeling, data structures, and fundamental analytical/statistical methods.
• High attention to detail, commitment to data accuracy, and strong analytical and problem-solving skills.
• Fluent in written and spoken English.

Nice to Have

• Basic understanding of Kubernetes and containerized workloads.
• Familiarity with workflow orchestration tools such as Argo Workflows, Airflow, or similar.
• Experience supporting or troubleshooting production data pipelines.
• Experience with BI and data visualization tools (Superset, Metabase, Tableau, Looker, etc.).

What We Offer

• A collaborative environment where quality and engineering excellence are top priorities.
• The chance to work on products with real impact on a global creative community.
• Competitive salary and equity options.
• 50 work-from-home days annually.
• A fast-growing company with a flat structure and strong team culture.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role
We are seeking an exceptional Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.

A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
• 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of mentoring junior engineers and fostering a collaborative team environment.
• Experience in the finance industry is a plus but not required.
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.

But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, Feel Free To Check Out Why

• Business Insider named us an “enterprise startup to bet your career on”
• Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers

Responsibilities
We are looking for an exceptional
Senior Backend Developer (Ruby)
to join our growing team. In this role, you will have an opportunity to work on
Workbot
- our innovative platform to build interactive chatbots for Slack & MS Teams which are used by many enterprise customers including Slack itself. This role is a blend of complex backend development, bleeding-edge application platforms and conversational user experiences. Do note that this role is a remote role.

In This Role, You Will Also Be Responsible To

• Build complex Ruby on Rails services within the Workato platform
• Continuously research Slack & MS Teams ecosystems, understand trends, track changes
• Contribute in all phases of the development lifecycle
• Write well-designed, testable, efficient code
• Evaluate and propose improvements to the existing system
• Support continuous improvement by investigating alternatives and technologies, and presenting these for architectural review

Requirements
Qualifications / Experience / Technical Skills

• BS/MS degree in Computer Science, Engineering or a related subject
• 5+ years of strong experience developing, shipping and maintaining Rails applications
• Excellent debugging, analytical, problem-solving, and social skills
• Solid knowledge of object-oriented programming and design
• Experience with Go - nice to have
• Experience with JavaScript frameworks (AngularJS, React, etc) - nice to have
• Knowledge of MS Teams or Slack platform & API is a plus

Soft Skills / Personal Characteristics

• Understanding of what a good user experience looks like
• Readiness to work remotely with teams distributed across the world and time zones
• Spoken English (Intermediate or higher)

(REQ ID: 2804)