Tasks:
- * Build end-to-end RAG pipelines
- * Build low code automations
- * Debug agent failures
- * Deliver rapid proofs of concept
- * Develop production grade Python services
- * Implement LangGraph agentic workflows
- * Mentor developers through code reviews and pair programming
- * Monitor and optimise production components
- * Translate architecture into implementation plans
Perks/Benefits:
- + Employee incentive programs
- + Flexible vacation
- + Flexible work arrangements
- + Headspace app access
- + Hybrid work
- + Mental health days
- + Paid volunteer days
- + Retirement savings
- + Tuition reimbursement
- + Work from anywhere up to 8 weeks per year
Skills/Tech stack required:
[Async/Await] [AWS AgentCore] [AWS Bedrock] [ChromaDB] [Chunking Strategies] [Claude] [Claude Code] [Cline] [Copilot Studio] [Cursor] [Embeddings] [Faiss] [FastAPI] [Gemini] [GitHub Copilot] [Langchain] [Langgraph] [Llama] [LLM Evaluation] [Microsoft Copilot] [Microsoft Copilot Studio] [NL-to-SQL] [OpenAI] [OpenSearch] [Pinecone] [Power Automate] [Pydantic] [Python] [RAG] [SQL] [Type Hints] [Vector Databases]
Educational requirements:
N/A
Role(s):
[AI Developer] [Automation and AI Developer] [Developer]