Related skills
docker python kubernetes fastapi rag📋 Description
- Write production-grade Python for AI integrations and REST APIs
- Implement and optimize RAG systems for production use
- Design and build LLM-based and agentic AI solutions
- Own the technical direction of client engagements
- Support presales: discovery, scoping, demos
- Lead architecture reviews and design documents
- Mentor engineers; lead code reviews
- Build relationships with client stakeholders as advisor
🎯 Requirements
- Full-stack mindset: AI, backend, and cloud
- Proactive, self-directed; owns outcomes end-to-end
- Strong English (B2+) for distributed teams
- Experience with Claude Code, Copilot, or similar
- Production LLM apps and agent workflows
- Python: OOP, patterns, clean architecture
- RESTful APIs with FastAPI/Django/Flask
- Docker and Kubernetes; LLM APIs (OpenAI/AWS Bedrock)
🎁 Benefits
- Remote with flexible hours
- Career growth toward senior roles
- Access to premium AI tools and subscriptions
- Medical insurance budget
- Paid sick leave, vacation, and holidays
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