CGEMJP00360221 - AI Engineer

CBSbutler Holdings Limited trading as CBSbutler; United States; Remote; USD 128,000 - 168,000; Part time

Job summary

CBSbutler Holdings Limited trading as CBSbutler is seeking a hands-on AI Engineer to design, build and deliver GenAI and Agentic AI products for a major public sector programme. The role is fully remote, a 6-month contract, and requires active SC clearance.

You will work in a product squad, delivering production-grade AI solutions using Python and Azure cloud services. Responsibilities include building multi-step agent workflows, LLM-powered applications, and end-to-end RAG pipelines with robust

Qualifications

• Strong, hands-on Python software engineering experience.
• Proven experience delivering production-grade GenAI and LLM applications.
• Practical experience designing and implementing Agentic AI workflows using LangGraph.
• Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search.
• Experience with LLM evaluation, testing, grounding, guardrails and hallucination mitigation.
• Hands-on Azure AI experience, ideally including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault.

Responsibilities

• Agentic AI: Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls.
• GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management.
• RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding.
• AI Quality & Assurance: Implement evaluation frameworks, automated testing, guardrails and techniques to mitigate hallucinations.
• Azure AI Engineering: Build and deploy solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry and associated cloud services.
• Production Engineering: Design reliable applications with robust error handling, retries, recovery, observability, security and performance optimisation.

Skills

Python

GenAI/LLMs

Agentic AI

Azure AI

LLM evaluation

Tools

LangGraph

Azure OpenAI

Azure AI Foundry

Cosmos DB

Redis

Job description

Job title: AI Engineer - Genai & Agentic AI

Rate: £600 per day inside ir35

Location: Remote

Contract: 6 months

Active SC security clearance is required for this role

Build production-grade AI that goes beyond the prompt.

I'm looking for a hands-on AI Engineer to design, build and deliver next-generation Generative AI and Agentic AI products for a major public sector programme. This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies.

You'll be working within a product squad, turning complex requirements into secure, scalable, and production-ready AI solutions, not just prototypes or proofs of concept.

Responsibilities:

• Agentic AI: Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls.
• GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management.
• RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding.
• AI Quality & Assurance: Implement evaluation frameworks, automated testing, guardrails and techniques to mitigate hallucinations.
• Azure AI Engineering: Build and deploy solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry and associated cloud services.
• Production Engineering: Design reliable applications with robust error handling, retries, recovery, observability, security and performance optimisation.

Required Expereince:

• Strong, hands-on Python software engineering experience.
• Proven experience delivering production-grade GenAI and LLM applications.
• Practical experience designing and implementing Agentic AI workflows using LangGraph.
• Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search.
• Experience with LLM evaluation, testing, grounding, guardrails and hallucination mitigation.
• Hands-on Azure AI experience, ideally including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault.
• A solid software engineering mindset, with experience building APIs, automated tests and maintainable backend services.