Key skills
CloudDockerPythonAILLMRAGLangChainLangGraphFastAPICI/CD
About this role
Role Overview
- Architect systems
- Build them yourself
- Set the bar for everyone else
- Design and ship production RAG pipelines (end-to-end)
- Build multi-agent systems used by real clients
- Integrate LLMs into production workflows (not prototypes)
- Own backend systems (FastAPI, multi-tenant, secure)
- Deploy with Docker + CI/CD + cloud
- Measure and improve output quality before anything ships
- Define how AI systems are built at Bold
- Establish architecture patterns, prompting standards, and data flows
- Own code quality and reviews — nothing ships without your approval
- Choose tools, frameworks, and infrastructure
- Mentor engineers and raise the performance bar across the team
Requirements
- 5+ years Python in production
- 3+ years building AI/LLM systems used by real users
- LangChain / LangGraph in production (not tutorials)
- Experience designing multi-agent systems
- Strong backend experience (FastAPI or equivalent)
- Docker, CI/CD, cloud deployment
- Security fundamentals (auth, secrets, isolation)
- Strong written English (clear, direct, professional)
- Proven ability to set and enforce engineering standards
- Advanced to fluent English — written and spoken
Tech Stack
- Cloud
- Docker
- Python
Benefits
- Health insurance
- Professional development opportunities
- Flexible work arrangements