Senior AI Engineer
Lynx Recruitment Ltd
London, UK
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
£80,000.0
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Artificial Intelligence
Amazon Web Services
Cloud Computing
Continuous Integration
Python (Programming Language)
Machine Learning
Software Deployment
LangChain
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
+5 more
Prompt Engineering
Llamaindex
Agentic-AI
CrewAI
Machine Learning Operations
Job description
- 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
Requirements
- 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
About the company
Lynx Recruiting are 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.
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