Artificial Intelligence Engineer

Senior AI Engineer – London Up to £700 Per Day 6-12 Months Contract AI Connect are partnering with a leading financial services organisation to help them hire an AI Engineer to work on next-generation agentic AI systems. This role sits at the intersection of software engineering and applied AI building production-grade, observable, and scalable agent-based systems. You’ll focus on the development of agent-to-agent architectures, LangGraph workflows, MCP-based state management, and OpenAI SDK integration to deliver scalable, business-ready AI applications that transform user experiences and business processes. What You’ll Do • Build and evolve agentic AI systems using frameworks such as LangGraph, focusing on orchestration, state management, and multi-step reasoning. • Design and implement evaluation frameworks for LLM-powered systems. • Implement observability and monitoring for agentic workflows using tools like Langfuse, ensuring traceability, reliability, and performance insight. • Develop production-grade microservices using Python, FastAPI, and modern software engineering practices. • Integrate LLM-powered services with internal APIs, tools, and data sources to enable real-world decision-making and automation. • Work closely with product, platform, and engineering teams to take agentic solutions from concept through to production. • Contribute to architectural decisions around scalability, reliability, and system design for AI-powered services. Key Skills & Experience • Strong experience as a Software Engineer or AI Engineer, with a clear focus on production systems rather than research. • Excellent Python engineering skills, including experience building APIs and services with FastAPI (or similar frameworks). • Solid understanding of microservices architecture, RESTful APIs, and distributed systems. • Hands-on experience with LangGraph for building agentic workflows (this is a key requirement). • Experience designing or working with LLM evaluation frameworks, testing strategies, and quality measurement. • Experience implementing observability for LLM systems, ideally using Langfuse or similar tooling. • Comfortable working in cloud environments (AWS experience is highly desirable). • Strong communication skills and the ability to collaborate with cross-functional teams.