The AI Engineer is the primary builder within the AWA AICoE. You will design, build, and test the LangGraph agent graphs, LLM extraction pipelines, prompt management workflows, and MCP tool integrations that power AWA's use cases — starting with Intelligent Document Processing (IDP) for cheque clearing and expanding across banking operations. You will work directly with the dual-layer orchestration stack (Orkes Conductor + LangGraph) and Azure AI Foundry to deliver production-grade agentic systems.
Required Skills and Experience
Technical — Essential
- 5+ years Python development — production-grade, not just scripting
- Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks
- Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement
- Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)
- Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL
- REST API development and consumption; JSON schema design
- Git version control; CI/CD pipeline awareness
Technical — Advantageous
- Experience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestration
- Azure AI Document Intelligence or equivalent OCR platform experience
- Computer vision model integration (object detection APIs)
- Knowledge of RAG architectures: chunking, vector indexing, Azure AI Search
- Azure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure Monitor
- Pydantic, FastAPI, TypeScript/Node.js
Qualifications
- Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field
- Master's degree or equivalent research/industry experience advantageous
- Relevant Azure certifications (AI Engineer Associate, Developer Associate) advantageous
Tags & focus areas
Used for matching and alerts on DevFound Contract Ai Ai Engineer Generative Ai