Yesterday
AI Engineer
Plexus has partnered with an early-stage AI company building an evaluation platform that helps enterprise teams validate generative AI models and agents before they go live. The product is already live, with a public leaderboard benchmarking leading LLMs, and the team is now growing.
You will build the infrastructure that runs evaluations of frontier models and agents at scale. This is a hands-on role with real ownership, working directly with the founders.
- Build scalable pipelines for benchmark execution, scoring and results aggregation across multiple LLM providers and custom endpoints
- Develop systems that generate custom evals on demand from customer data
- Design secure, multi-tenant services and APIs to enterprise privacy standards
- Own orchestration, observability, performance and cost as usage grows
- Proven experience building AI systems and AI infrastructure in production
- Strong Python (or similar) and backend or distributed systems skills
- Hands-on experience with LLM APIs and open or self-hosted models
- Cloud (AWS, GCP or Azure), Docker/Kubernetes and infrastructure-as-code
- Comfortable in an early-stage, fast-moving environment