Responsibilities
- Design and implement multi-step AI agents and orchestration workflows in Python
- Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools
- Integrate and evaluate top models (Gemini, GPT, Claude, etc.)
- Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events)
- Implement memory, retrieval, and planning for reliable agent behavior
- Take prototypes to production — with CI/CD, containers, and cloud deployment
- Build internal SDKs and reusable agent templates to speed up delivery
- Instrument everything — logging, tracing, guardrails, evaluation
- Work directly with clients to capture requirements, run experiments, and iterate fast
- Apply best practices for security, privacy, and safety in all deployments
Requirements
- 2+ years of hands-on experience building and shipping AI agents or complex automations
- Strong Python skills (async, testing, packaging)
- Experience with LangGraph or LangChain, plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.)
- Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems
- Solid data foundations: embeddings, RAG, chunking, indexing
- Software engineering fundamentals: Git, CI/CD, Docker, AWS
Nice to Have
- TypeScript, FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)
Benefits
- Work on real, high-impact AI systems — not just demos
- Exposure to Fortune 500 and private equity clients
- Remote-first and flexible — we care about results, not hours
- Fast recruitment process — we move as quickly as you do
- Career growth, certifications, and access to leading AI tech
