Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Embed with clients to translate their goals into technical solutions, partnering with engineers to build and deploy AI/ML systems that drive climate and sustainability outcomes.
Builds AI-driven workflows (RAG, agent pipelines) for clients in climate/energy/logistics, bridging technical delivery with client collaboration. Focuses on shipping solutions fast while ensuring reliability, with occasional frontend work.
Senior ML Engineer deploying forecasting and detection models directly into client environments, owning the full lifecycle from data discovery through production scheduling and monitoring, using Python, SQL, Docker, FastAPI, and cloud tooling.
Senior ML Engineer building reusable AI models and infrastructure (Rust/Python simulation engine, grid-data toolkits, ML libraries for forecasting/disaggregation) for utility and energy clients at a climate-focused AI startup.
Senior Product Engineer owning full-stack demo builds for enterprise AI clients — chat surfaces, agent workspaces, app builder, and design system using React/TypeScript, Node/FastAPI, and Postgres.
Build and maintain backend services for an LLM gateway (routing, rate limiting, key management, observability) and support Kubernetes-based platform services, using Go, Rust, or async Python with Envoy, gRPC, and OpenTelemetry.
Senior engineer owning the AI inference and runtime platform layer—serving open-weight LLMs on Kubernetes, building a microVM-based agent sandbox, and writing Rust/Python services for model lifecycle, autoscaling, and isolation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.