AI Platform Engineer – UK (remote)

MBN Solutions; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology firm in the United Kingdom seeks a Mid-Senior level professional for internal SDK and tooling development. Key responsibilities include designing and maintaining SDKs, deploying AI workloads in cloud environments, and refining LLM orchestration strategies. Candidates should have experience with LangChain and cloud deployment in GCP or Azure, along with strong documentation skills. This is a full-time role with the potential for significant impact on AI solution development.

Qualifications

• Experience in LangChain, Retrieval-Augmented Generation (RAG), and LLM orchestration.
• Skilled in cloud deployment (GCP or Azure).
• Familiarity with observability, monitoring, and audit practices.
• Strong focus on SDK modularity, versioning, and documentation.

Responsibilities

• Design, build, and maintain internal SDKs, tooling, and frameworks.
• Implement modular, versioned components for maintainability.
• Deploy and optimise AI workloads in cloud environments (GCP/Azure).
• Develop observability, monitoring, and audit tooling for AI applications.
• Experiment with prompt engineering and LLM orchestration strategies.
• Produce high-quality documentation for internal adoption.

Skills

LangChain

Retrieval-Augmented Generation (RAG)

LLM orchestration

Cloud deployment (GCP or Azure)

Observability practices

Monitoring practices

Audit practices

SDK modularity

Versioning

Documentation

Job description

Overview

Scaling World-Class Data, AI & Analytics Leadership Teams | 20 Years in Retained Search | 3,000+ Hires | Helping Global Organisations Build the…

Focus

Focus: Internal SDK and tooling development

Reporting Line

Reporting Line: Engineering leadership

Success Metric

Success Metric: Delivering robust, scalable AI solutions that empower teams to build quickly and effectively

Key Responsibilities

• Design, build, and maintain internal SDKs, tooling, and frameworks to accelerate AI solution development.
• Implement modular, versioned components that ensure maintainability and reusability.
• Deploy and optimise AI workloads in cloud environments (GCP/Azure).
• Develop observability, monitoring, and audit tooling for AI applications.
• Experiment with and refine prompt engineering and LLM orchestration strategies.
• Produce high-quality documentation to enable adoption across internal teams.

Key Skills

• Experience with LangChain, Retrieval-Augmented Generation (RAG), and LLM orchestration.
• Skilled in cloud deployment (GCP or Azure).
• Familiarity with observability, monitoring, and audit practices.
• Strong focus on SDK modularity, versioning, and documentation.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Telephone Call Centers