AI Engineer
algoleap
Job Description
- Agentic AI Development
- Implement LangGraph agentic workflows on AWS AgentCore — state graphs, tool orchestration, conditional routing, error recovery.
- Build custom RAG pipelines end-to-end: chunking strategy, embeddings, vector retrieval, accuracy evaluation.
- Contribute to rapid POC delivery alongside the Architect and Lead.
- Write production-grade Python with FastAPI, Pydantic, testing, and proper error handling.
- Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate builds. Own and fix all generated code in production.
- Low Code & Automation
- Build Low Code automations using Microsoft Copilot Studio and Power Automate when use case and bandwidth allow.
- Understand Pro Code vs Low Code trade-offs — flag where Low Code is the better fit.
- Stay current on Low Code platform capabilities as they expand rapidly.
- Production Ownership & Collaboration
- Own assigned components in production — monitor, debug, optimise, iterate.
- Debug agent failures independently: context issues, tool errors, hallucination, retrieval degradation.
- Collaborate with the Lead on architecture translation and implementation planning.
- Mentor Associate Developers through code reviews and pair programming.