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AI Engineer
Location
United States
Posted
47 days ago
Salary
Not specified
Job Description
Job Requirements
- Strong Python engineering fundamentals, grounded in a solid computer science foundation: data structures, control flow, state management, concurrency, and performance trade-offs
- Hands-on experience designing, building, and experimenting with core components of agentic systems—tools, retrieval-augmented generation (RAG), API integrations, sub-agents, orchestration techniques, and graph-based or state machine architectures
- Familiarity with context engineering in agentic workflows, following industry developments, and the ability to learn the art and science as you go
- Working knowledge of FastAPI, Pydantic-AI, Pydantic, Pandas, and Redis or similar libraries, frameworks, and toolkits
- Skilled at leveraging AI-augmented coding tools (Cursor, Claude Code) as force multipliers—must demonstrate that you're an active orchestrator, reviewer, and iterator, not a passive accepter of outputs
- Experience with observability tools like Logfire for monitoring, debugging, and explaining outputs
- Understanding of how to evaluate AI outputs—both manual and automated techniques, across different models, and tracking how outputs change over time
- You've built something real that we can look at and talk through—school, personal, or commercial work all count. What matters is that you can clearly explain how you structured things and why you made certain design decisions
- Comfortable operating in ambiguity without heavy process or rigid specs
Benefits
- Fully remote
- Guided by Agile Manifesto principles, not ritualized Agile
- Strong bias toward working software, fast feedback, and continuous improvement
- Minimal meetings, high trust, high ownership
- Travel 1–2 times per year
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