Senior AI Engineer Consultant — Production-Grade AI

Maple Logic Ltd; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology solutions provider in the UK is seeking an experienced AI engineer to design, build, and operate production-grade AI systems. You will work in a small senior team, collaborating with clients to shape AI architectures and implement features. Responsibilities include developing AI agents, building secure integrations, and improving system observability. The ideal candidate should have strong Python skills, hands-on experience with LLMs, and be security-minded. This role offers opportunities for autonomy and influence within the team.

Qualifications

• Strong software engineering background with production Python or similar.
• Hands-on experience with LLMs, vector stores, orchestration, or agents.
• Comfortable across infrastructure, APIs, cloud, containers, and CI/CD.
• Security-minded and able to consider failure modes and guardrails.
• Clear communicator, confident working directly with clients.
• Enjoys autonomy and working in a small senior team.

Responsibilities

• Design and implement AI agents and autonomous workflows.
• Build secure LLM integrations, tooling, and internal APIs.
• Develop and harden RAG pipelines and data access controls.
• Improve observability, evaluation, and safety guardrails for AI systems.
• Modernize infrastructure, CI/CD, and deployment workflows.
• Help debug complex production issues across model behavior, data, and infrastructure.

Skills

Production Python

LLMs

APIs

Cloud

Containers

CI/CD

Security Awareness

Clear Communication

Tools

Python

TypeScript

AWS

GCP

Kubernetes

Job description

A technology solutions provider in the UK is seeking an experienced AI engineer to design, build, and operate production-grade AI systems. You will work in a small senior team, collaborating with clients to shape AI architectures and implement features. Responsibilities include developing AI agents, building secure integrations, and improving system observability. The ideal candidate should have strong Python skills, hands-on experience with LLMs, and be security-minded. This role offers opportunities for autonomy and influence within the team.