Related skills
terraform aws python django fastapi📋 Description
- Contribute across full lifecycle of AI products (prototype to production).
- Plan, implement, and maintain end-to-end AI agents and MCPs.
- Operate AI-native workflows, integrating agents into daily work.
- Contribute to the AI platform foundations (agents, storage, orchestration).
- Experiment with new models/frameworks, balancing reliability and latency.
- Instrument and monitor AI pipelines with Langfuse and Datadog.
🎯 Requirements
- 5+ years in software engineering or building technical products.
- Built and maintained LLM-powered/agentic systems in production.
- Proficient with agentic frameworks (Pydantic AI, LangGraph, Claude Agent SDK).
- Familiar with the Model Context Protocol (MCP).
- Active use of coding agents (Claude Code, Cursor, Codex, Copilot).
- Strong Python skills (FastAPI or Django) and maintainable code.
- Cloud infra (AWS) and Terraform IaC.
- Proficient in English; strong team collaboration.
🎁 Benefits
- Stock options
- Annual company bonus linked to performance
- Flexible working hours
- Remote friendly
- Health Insurance
- Training Budget
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