Senior Product Engineer (Agent Training and Evals)

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.

As a Senior Product Engineer, you’ll be one of the early engineers in our Agentic Training & Evals team.

You’ll build the infrastructure that lets us evaluate AI agents, capturing agent traces at scale alongside real human expert work in safe and secure environments.

This is a genuine 0→1 role. There isn’t a well-established playbook or existing architecture for you to simply maintain. You’ll have significant influence and ownership over the technical direction of the team 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 bring to the role:

• Strong experience building scalable infrastructure or distributed systems in the cloud
• Solid understanding of how systems are deployed, scaled, and secured
• Hands-on experience with integrating and evaluating AI models or agents
• Interest in how AI agents are trained, evaluated, and improved
• Bonus: experience with image, video, or audio processing
• Strong 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
• Strong communication and collaboration skills
• Python experience is useful, but not essential

What you’ll be doing in the role:

• Build tooling for capturing and processing data from agents and humans performing real-world tasks, at significant scale
• Solve hard problems around compute, orchestration, scaling, security, and reliability
• Help develop approaches for training, benchmarking, and evaluating AI agents
• Work with emerging agentic AI technologies and rapidly evolving models
• Make pragmatic technical decisions in a highly ambiguous environment
• Partner closely with product engineering and AI research to turn customer problems into working products
• Drive direct impact in a fast-moving, high-ownership, cross-functional team

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