Artificial Intelligence Engineer

AI Connect | Data & AI Delivery Partner; United Kingdom; On-site; GBP 110,700 - 129,150; Full time

Job summary

A leading consultancy in AI solutions is seeking a Mid-Senior AI Engineer to develop agentic AI systems. The role focuses on designing workflows, evaluating frameworks, and integrating LLM-powered services within production environments. Candidates should possess strong Python engineering skills and experience with frameworks like FastAPI and LangGraph. This contract position offers a competitive salary of up to £700 per day and provides the opportunity to collaborate with top professionals in the financial sector.

Qualifications

• Strong experience as a Software Engineer or AI Engineer focused on production systems.
• Excellent Python engineering skills for building APIs.
• Hands-on experience with LangGraph for workflows.

Responsibilities

• Build and evolve agentic AI systems using LangGraph.
• Design evaluation frameworks for LLM-powered systems.
• Implement observability for agentic workflows.

Skills

Software Engineering

Python

FastAPI

Microservices Architecture

LangGraph

Observability

Distributed Systems

Cloud Environments (AWS)

Cross-functional Collaboration

Job description

AI Engineer – Contract

Up to £700 Per Day – Inside IR35

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 designing and delivering agentic workflows, robust evaluation frameworks, and real‑world AI services for a digital assistant that processes millions of queries daily.

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.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

Business Consulting and Services

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