Summary
✨ AI‑Generated
A senior AI engineering role building production-grade intelligent systems using large language models, agent frameworks, cloud infrastructure, and full-stack technologies.
Highlights
Advanced AI engineering role focused on production AI systems, cloud platforms, and modern application development.
Description
Required Skills & Experience
7+ years professional software engineering, including significant production ownership (not just prototypes or coursework).3+ years building and shipping LLM, RAG, or agentic systems in production — or equivalent depth owning an internal AI platform.Hands-on with LangChain and/or LangGraph (or comparable agent orchestration).Experience with vector databases / embeddings (pgvector, Pinecone, Weaviate, FAISS, OpenSearch, or similar).Experience building or integrating MCP servers / tool-calling interfaces for agents.Strong TypeScript and React / Next.js, plus backend in Python (FastAPI) and/or Node.js / Go.Production cloud experience on AWS, GCP, and/or Azure; containers and CI/CD in real environments.PostgreSQL and at least one cloud data platform (Snowflake, BigQuery, or equivalent).OAuth 2.0 / SSO (Microsoft Entra ID preferred).Proven ability to take AI-generated code and make it production-safe.Comfortable in Git workflows, code review, and hybrid collaboration.
3 days in office required.
Nice to Have Skills & Experience
Daily use of Claude Code, Cursor, Lovable, or Copilot as a primary development workflowSupabase (Postgres + Auth + Edge Functions) and VercelSnowflake MCP connectors or similar enterprise data-to-agent patternsKubernetes, Terraform, GitOpsKong, Dynatrace, DatadogEvaluation harnesses, guardrails, prompt versioning, LLM observability (Langfuse, LangSmith, or similar)Retail, automotive, or dealership / field-ops technology
Job Description
We are seeking a Senior AI Engineer to own production AI systems end to end — not just wire prototypes.
This role sits at the intersection of agentic AI, full-stack engineering, and AI platform / DevOps.
You will design and ship LLM applications, RAG pipelines, MCP tooling, and the infrastructure that makes them reliable in an enterprise environment.
You will still work in our AI-assisted delivery flow (Lovable → GitHub → Claude Code → CI/CD → Vercel/GCP/Azure), but the bar is senior: you architect agent workflows, harden AI-generated code, own observability and deployment, and set patterns other engineers follow.
This position pays $65-75/hr
