Senior AI Engineer

Lynx Recruitment Ltd; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Lynx Recruitment Ltd is seeking a Senior AI Engineer to lead design and delivery of production-grade Generative AI and agentic systems in London. This hands-on role covers architecture, prototyping, deployment, monitoring and continuous evaluation.

You will design production GenAI solutions, build agentic workflows, and define evaluation strategies while mentoring engineers and collaborating with clients and senior stakeholders.

Qualifications

• 3+ years software or ML engineering experience
• 2+ years building GenAI/LLM applications in production
• Strong Python development skills
• Experience with AWS services (Bedrock, Lambda, ECS, EKS or SageMaker)
• Hands-on with LangGraph, LangChain, LlamaIndex or similar
• Experience leading technical workstreams or small teams
• Designing secure architectures and AI observability

Responsibilities

• Design and deliver production GenAI and multi-agent systems
• Build agentic workflows, RAG solutions, tool use and multi-step orchestration
• Define evaluation strategies and implement AI observability
• Design secure AWS deployment architectures
• Build CI/CD pipelines and production-ready AI applications
• Lead technical discussions with clients and senior stakeholders
• Mentor engineers and provide technical leadership
• Establish best practices around prompt design and guardrails

Skills

Python

Leadership

Stakeholder management

Problem solving

Education

2:1 IT/Tech/Business degree

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

Bedrock

Lambda

ECS

SageMaker

Job description

Lynx Recruitment is working with a specialist technology and AI consultancy that is looking for a Senior AI Engineer to lead the design and delivery of production-grade Generative AI and agentic systems.

This is a hands‑on technical role where you'll take ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation.

Key responsibilities:

• Design and deliver production GenAI and multi-agent systems


• Build agentic workflows, RAG solutions, tool use and multi‑step orchestration


• Define evaluation strategies and implement AI observability


• Design secure AWS deployment architectures


• Build CI/CD pipelines and production‑ready AI applications


• Lead technical discussions with clients and senior stakeholders


• Mentor engineers and provide technical leadership


• Establish best practices around prompt design, guardrails and responsible AI

Key experience:

• 3+ years of software or machine learning engineering experience


• 2+ years building and deploying GenAI/LLM applications in production


• Strong Python development skills


• Hands‑on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar


• Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker


• Strong understanding of RAG, agentic AI and multi‑agent architectures


• Experience with CI/CD, cloud infrastructure and application deployment


• Comfortable working directly with clients and senior stakeholders


• Experience leading technical workstreams or small engineering teams


• 2:1 or above in an IT/Tech/Business related degree