Ai Engineer

TEKsystems Global Services, LLC; Sheffield; On-site; GBP 80,000 - 100,000; Part time

Job summary

A technology services firm is seeking an Ai Engineer in Sheffield, UK, to work on cutting-edge AI technologies, particularly with Large Language Models and agentic frameworks. The role includes collaboration with model risk teams and involvement in AI governance. Ideal candidates should have strong skills in LLMs, GPU optimization, and programming in C# or C++. This position offers a dynamic work environment and strategic influence on AI deployment.

Benefits

Opportunity to work on cutting-edge AI technologies

Hands-on involvement in AI governance

Exposure to advanced GPU architectures

Engagement with stakeholders at C-suite level

Qualifications

• Experience with Large Language Models (LLMs) and generative AI.
• Strong understanding of agentic frameworks.
• Proven experience with agent-to-agent protocols.
• Knowledge and hands-on experience with GPUs for fine-tuning.

Responsibilities

• Work on advanced AI technologies including LLMs.
• Collaborate with model risk and central AI platform teams.
• Engage in AI governance and compliance requirements.

Skills

LLMs and generative AI

Agentic AI frameworks (LangChain, LangGraph, AutoGen)

Model evaluation and risk management

GPU optimization and fine-tuning

AI governance and compliance

Quantitative analysis and mathematical modeling

C# or C++ programming

System/API design

Job description

Job Title

Ai Engineer

Location

Sheffield, UK

Job Type

Contract

Job Description

• Predominantly working with Large Language Models (LLMs).
• Strong understanding of agentic frameworks: LangGraph, LangChain, AutoGen, CrewAI, DeepSeek, OpenAI.
• Proven experience with agent-to-agent protocols.
• Ability to determine the most suitable LLM for specific environments and use cases.
• Collaboration with the model risk team for performance monitoring, testing, and compliance.
• Work closely with the central AI platform team to ensure alignment and scalability.
• Knowledge and hands‑on experience with GPUs (fine-tuning, Nvidia reference architecture).
• Familiarity with AI governance principles and compliance requirements.
• Understanding of MCP servers and their role in AI orchestration.

Skills

• LLMs and generative AI.
• Agentic AI frameworks (LangChain, LangGraph, AutoGen).
• Model evaluation and risk management.
• GPU optimization and fine‑tuning.
• AI governance and compliance.
• Quantitative analysis and mathematical modeling.
• C# or C++ programming.
• System/API design.

Employee Value Proposition

• Opportunity to work on cutting‑edge AI technologies, including LLMs and agentic frameworks.
• Hands‑on involvement in AI governance and risk management.
• Collaboration with central AI platform and model risk teams.
• Exposure to advanced GPU architectures and fine‑tuning techniques.
• Influence in strategic decisions on LLM selection and deployment.
• Engage with stakeholders at all levels, including C‑suite.
• Work in a dynamic environment combining AI innovation with quantitative expertise.