DontApply.Club
Login Register

Lead AI Engineer

Auxotalent — United Kingdom · Posted ~3 hours ago

Lead Full-time Onsite

Skills

LLMs RAG pipelines multi-agent systems AI solution development enterprise AI deployment AI system monitoring RAG MCP multi-agent orchestration

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A senior AI engineering leadership role focused on building and deploying intelligent systems for complex business workflows. The position involves designing AI architectures, integrating enterprise data, improving reliability, and managing delivery from concept to production.

Highlights

Lead advanced AI engineering initiatives, design production-ready AI systems, work with stakeholders, and own solutions from discovery through deployment.

Description

Lead AI Engineer – Agentic AI & Enterprise Deployment | Permanent | London Location: London My client is seeking a Lead AI Engineer to build and deploy agentic AI systems for a well-funded AI company working with global enterprises. In this client-facing role, you will turn complex business workflows into reliable systems that operate in production. You will work directly with technical teams and business stakeholders, owning solutions from initial discovery through to deployment in the client’s environment. Key Responsibilities: Work with enterprise clients to understand complex workflows and identify opportunities for AI automation.Design and build solutions using LLMs, RAG pipelines, MCP and multi-agent orchestration.Integrate AI systems with enterprise data, applications and infrastructure.Own end-to-end delivery, from solution design and development through to production deployment.Evaluate, monitor and improve the reliability of deployed AI systems.Share insights from client projects with the wider engineering team. Requirements: Hands-on experience building and deploying LLM-based systems in production.Strong Python engineering skills.Practical experience with RAG pipelines, agentic workflows and AI tool integration.Experience working directly with clients or business stakeholders to define and deliver technical solutions.Experience working within PharmaAbility to translate complex requirements into scalable, reliable systems.A track record of delivering measurable impact through applied AI. Desirable Skills: Experience with MCP and multi-agent orchestration frameworks.Experience deploying applications using Docker.Cloud experience across AWS, GCP or Azure.Experience integrating AI solutions with enterprise systems and data sources. If you are interested in this opportunity, send in your application!