Join a fast-growing technology organization and accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow.
Requirements
- Python expert with production experience building APIs/services (FastAPI/Flask/Django), REST/GraphQL
- Hands-on experience with agentic AI: LangChain and LangGraph (stateful workflows, planners, tools, memory, error handling, retries, concurrency)
- Proficiency in A2A (agent-to-agent) interaction patterns and multi-agent orchestration in production (e.g: AutoGen, CrewAI, etc).
- Experience with MCP (Model Context Protocol): building/consuming MCP tools/servers; integrating model-context tools safely
- LLM integration across major providers (OpenAI, Anthropic, Azure OpenAI); function/tool calling, structured outputs (JSON Schema), prompt engineering
- Expertise in Retrieval-augmented generation (RAG): embeddings, chunking, indexing; vector databases (Pinecone, Weaviate, Qdrant, FAISS); reranking basics
- Full-stack delivery: React/Next.js with TypeScript and component libraries; secure auth flows; building internal dashboards
- Cloud and DevOps: Docker, CI/CD (GitHub Actions/GitLab), at least one major cloud (AWS/Azure/GCP), secrets management, environment promotion
- Security/compliance for enterprise: OAuth/SSO, RBAC, audit logging, PII handling, encryption, least-privilege
- Testing and observability: pytest, integration/e2e tests, tracing/logging (OpenTelemetry), metrics, feature flags
- AI developer tools proficiency: GitHub Copilot and QDev (or similar), prompt/version management, code review with AI
- Strong Git workflows, code reviews, documentation; Agile delivery in cross-functional teams