AI Engineer (Agentic Systems)
Summary
Build and optimize multi-agent AI systems using LangChain/LangGraph, FastAPI, and RAG pipelines for production-grade performance and security.
We are looking for an AI Engineer to join our core team to accelerate the development of the Governa AI product.
This is not a role for someone who simply integrates API endpoints. We are building complex, multi-agent systems that require a deep understanding of state management, concurrency, reliability, and production-grade AI architecture.
You will be responsible for architecting agentic workflows, optimising our Retrieval-Augmented Generation (RAG) pipelines, and ensuring that AI interactions are performant, secure, and observable in production environments.
Technical Stack & Responsibilities
1. Agentic Design & Orchestration
- Design and implement sophisticated agentic workflows using LangChain and LangGraph
- Apply agentic design patterns (Reflection, Planning, Tool Use) to solve non-linear problems
- Build and maintain high-performance backend services using FastAPI
- Optimise vector databases and embedding strategies to improve retrieval precision
- Engineer complex SQL queries with strong emphasis on efficiency and safety (including SQL injection prevention in LLM-driven contexts)
- Manage data pipelines and PII handling to maintain strict privacy and compliance standards
3. Performance & Reliability
- Implement concurrency patterns to handle high-throughput LLM interactions
- Utilise observability and monitoring tools to trace agent reasoning and debug hallucinations
- Refine prompt engineering strategies and LLM integrations (OpenAI and open-source models) to ensure consistent, high-quality output
What We’re Looking For
- 2-3 years of professional experience specifically in AI/ML engineering, or advanced backend roles with strong LLM exposure
- Advanced Python mastery – including async programming, type hinting, and performance profiling
- Architectural mindset – you design scalable systems, understand HTTP/REST best practices, and can scale distributed services
- The 'Agentic' edge – direct experience with LangGraph or similar state-machine-based orchestration frameworks is highly preferred
- Security-first thinking – knowledge of PII scrubbing and safe data handling within AI-driven systems