Senior Software Engineer (Agent Training and Evals)

About this role

Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Software Engineer, you'll be one of the first engineers on our Agent Training & Evals team.

You'll build infrastructure to evaluate AI agents at scale against real human expertise, in safe and secure environments. The better we get at this, the more useful, reliable and safe agents become. This is a genuine 0→1 role. There isn't a well-established playbook or existing architecture for you to simply maintain. You’ll shape the team’s technical direction and the products we build. You'll work closely with engineering, product and AI research to turn ambiguous problems into scalable systems, and you'll see the impact of what you build directly.

What you’ll be doing in the role Build a platform to support evaluating and fine-tuning agents Take prototypes to production; turn experiments and research ideas into reliable, well-tested software Own what we ship as it scales in production Solve hard problems around data, compute, orchestration, scaling, security and reliability Work with emerging agentic AI technologies and rapidly evolving models Make effective product and technical decisions in a highly experimental environment Partner closely with customers, product engineering and AI research to turn problems and opportunities into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team What you’ll bring to the role A background in Software Engineering, Data Engineering or MLOps Strong experience building scalable infrastructure or distributed systems in the cloud Solid understanding of how systems are deployed, scaled and secured Experience applying good engineering practice and raising the bar for those around you Hands-on experience with integrating and evaluating AI models or agents Interest in how AI agents are trained, evaluated and improved A product mindset with a focus on delivering business and customer value Comfort with ambiguity, and the ability to move quickly from idea to working system Python experience is useful but not essential Key Technologies Cloud Platforms: Google Cloud Platform Programming Languages: Python, JavaScript, and TypeScript Frameworks: FastAPI, Vue.js, Container-based and Serverless architectures Databases: PostGres SQL DevOps and Monitoring: GitHub Actions, Kubernetes, Datadog, Langfuse Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback.