AI and Software Developer
Indexed description
What You Will Work On
Build and ship backend and AI powered services that support agent workflows and product features
- Develop agent capabilities, including tool use, planning, memory, and reliable execution with human review when needed
- Integrate LLM based systems with real data sources, document stores, and scientific workflow inputs
- Design and maintain APIs that power the product, including auth, rate limits, logs, and error handling
- Implement evals and monitoring for quality, safety, and reliability
- Improve performance and cost efficiency across inference, retrieval, and data pipelines
- Collaborate with frontend and product to deliver end to end features, from prototype to production
- Strong programming fundamentals in Python and or TypeScript, plus Git workflows
- Experience building backend services, APIs, and working with databases
- Practical experience with LLM powered apps or ML projects, through internships, research, freelance, or personal work
- Ability to write clean modular code, add tests, debug issues, and own small to medium features end to end
- Comfort working independently, communicating clearly, and iterating quickly
- Experience with agent frameworks or orchestration patterns, tool calling, function routing, state machines
- RAG experience, embeddings, vector databases, chunking, reranking, retrieval evaluation
- Experience deploying models or services, Docker, cloud services, CI CD, background jobs
- Familiarity with observability, tracing, structured logging, metrics, model monitoring
- You have shipped at least one real project and can explain your design decisions and tradeoffs
- You care about reliability and can build guardrails, tests, and monitoring, not only demos
- You take ownership and can move from idea to working product code
- You are curious about AI systems and enjoy building practical software that interacts with real world workflows
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