Lead AI Engineer Python LLM
Client Server
Charing Cross, United Kingdom
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 125KJob location
Remote
Charing Cross, United Kingdom
Tech stack
Agile Methodologies
Artificial Intelligence
Cloud Engineering
Python
Software Deployment
Large Language Models
Deep Learning
Build Management
Information Technology
Machine Learning Operations
Api Design
Requirements
Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding?, * You have hands-on experience deploying LLMs and multi-modal models at scale in production
- You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment
- You have strong Python coding skills and API development skills
- You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments
- You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines
- Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques
Benefits & conditions
- Salary to £125k
- Pension, Life Assurance, Income Protection
- Private medical care for you and your family, including mental health
- Travel Insurance
- Charitable giving
- Gym membership for you and your family
- Flexible holiday scheme
Your role:
As a Lead AI Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration.
This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your expertise to build and deploy cutting-edge generative AI and agentic systems across the financial services sector.