Senior AI Engineer - Production-Grade Agentic AI Systems

Madfish; Remote; GBP 70,000 - 90,000; Full time

Job summary

A dynamic tech company in the United Kingdom is seeking an experienced AI Engineer to develop and support agentic AI systems for client projects. The role emphasizes hands-on engineering, involving building, deploying, and iterating AI applications that deliver real solutions. Candidates should have substantial experience in Python development, AI/LLM applications, and be adept with frameworks like LangChain and RAG systems, contributing to innovative solutions and collaborating effectively within a team.

Qualifications

• 4+ years of professional Python development with production systems.
• 2+ years building production AI/LLM applications.
• Expert-level Python engineering with clean, maintainable code.
• Deep LangChain/LangGraph experience in multi-agent systems.
• RAG implementation expertise with chunking strategies and embedding models.
• Vector database expertise with optimized queries and schemas.
• Production LLM integration experience with OpenAI, Anthropic, and Google Gemini.
• Backend API development using FastAPI or Flask in production.

Responsibilities

• Build agentic AI systems using LangChain or LangGraph.
• Implement and optimize RAG pipelines with vector databases.
• Integrate multiple LLM providers like OpenAI and Google Gemini.
• Design AI system architectures for new client projects.
• Conduct technical discovery with clients to understand requirements.
• Perform code reviews and knowledge sharing on AI best practices.

Skills

Python development

AI/LLM applications

LangChain/LangGraph

RAG implementation

Vector databases

Backend API development

SQL and database design

Tools

FastAPI

Flask

PGVector

Docker

Job description

A dynamic tech company in the United Kingdom is seeking an experienced AI Engineer to develop and support agentic AI systems for client projects. The role emphasizes hands-on engineering, involving building, deploying, and iterating AI applications that deliver real solutions. Candidates should have substantial experience in Python development, AI/LLM applications, and be adept with frameworks like LangChain and RAG systems, contributing to innovative solutions and collaborating effectively within a team.