AI Engineer

Lynx Recruitment Ltd; City Of London; On-site; GBP 50,000 - 75,000; Full time

Job summary

Lynx Recruitment are recruiting for a specialist technology consultancy delivering cloud-based AI and analytics solutions to global clients. We are looking for an experienced AI Engineer to design, build, and deploy production-ready Generative AI systems.

You will own the full lifecycle of GenAI applications, working with LLMs, RAG architectures, and agentic frameworks to deliver scalable, business-focused solutions.

Qualifications

• 1–3 years deploying LLM/GenAI systems in production.
• Strong Python skills.
• Experience with cloud platforms.
• Knowledge of RAG, vector databases, and LLM frameworks.
• Git and CI/CD experience.
• Experience with LangChain and LangGraph.
• AWS experience.
• IT/Technology related university degree (minimum 2.1).

Responsibilities

• Build and deploy GenAI and RAG systems
• Develop agentic AI workflows
• Design prompts and safety guardrails
• Implement monitoring and CI/CD pipelines
• Collaborate with clients and technical teams

Skills

Python

Cloud platforms

RAG

LangChain

LangGraph

AWS

Git

CI/CD

LLM frameworks

Education

IT/Technology-related degree (minimum 2.1)

Tools

LangChain

LangGraph

CI/CD tooling

Job description

Lynx Recruitment are recruiting for a specialist technology consultancy delivering cloud-based AI and analytics solutions to global clients. We are looking for an experienced AI Engineer to design, build, and deploy production-ready Generative AI systems.

Role

You will own the full lifecycle of GenAI applications, working with LLMs, RAG architectures, and agentic frameworks to deliver scalable, business-focused solutions.

Responsibilities

• Build and deploy GenAI and RAG systems
• Develop agentic AI workflows
• Design prompts and safety guardrails
• Implement monitoring and CI/CD pipelines
• Collaborate with clients and technical teams

Requirements

• 1-3 years deploying LLM/GenAI systems in production
• Strong Python skills
• Experience with cloud platforms
• Knowledge of RAG, vector databases, and LLM frameworks
• Git and CI/CD experience
• Experience with LangChain and LangGraph
• AWS experience
• IT/Technology-related university degree (minimum 2.1)