AI Engineer

Project overview

AI Engineer - rate: £610 per day inside IR35 - Remote (on-site once a month) - 6 months

The AI Engineer role will be responsible for working within a Product squad to design, build and deliver GenAI and Agentic AI products.

The individual must have hands-on experience developing production-grade GenAI/Agentic AI solutions using LLMs, RAG and agentic workflow technologies. The role requires strong Python software engineering skills alongside practical experience designing reliable, secure and maintainable AI-enabled applications.

Responsibilities

Technical Scoping & Estimation: Break down product requirements and user stories into technical tasks, provide estimates, identify dependencies, risks and integration requirements, and support delivery planning.

Data Analysis, Engineering & Discovery: Explore and assess structured and unstructured data, identify key data dependencies and quality issues, and prepare, transform and integrate data for use in RAG pipelines, agentic workflows and downstream applications.

Agentic AI Development: Design and implement multi-step Agentic AI workflows using frameworks such as LangGraph, including workflow state, routing, parallel execution, tool use, human-in-the-loop review, checkpointing and recovery.

LLM Application Development: Design and develop LLM-powered application capabilities, including prompt engineering, structured outputs, context management, model configuration and validation of model responses.

RAG & Knowledge Retrieval: Design and implement Retrieval-Augmented Generation solutions, including document ingestion, parsing and chunking, embeddings, indexing, semantic/hybrid search, filtering, reranking and evidence grounding.

AI Evaluation & Assurance: Develop approaches to evaluate LLM and RAG quality, including grounding, retrieval quality, hallucination, output consistency and regression testing. Implement appropriate guardrails, human review, citations, traceability and auditability.

Reliability & Error Handling: Design AI workflows to handle rate limits, timeouts, malformed model outputs, partial failures and other non-deterministic behaviours, including retry, recovery and resumability where required.

Observability & Monitoring: Implement logging, tracing and monitoring across LLM calls, agent workflows and retrieval pipelines to support troubleshooting, performance monitoring, quality assurance and operational support.

Security & Data Access: Ensure AI solutions follow appropriate authentication, authorisation, data access and secure development practices, particularly when integrating agents with enterprise systems and sensitive information.

Testing & Peer Review: Develop automated tests for AI and application components, participate in peer reviews and ensure solutions meet agreed quality, security and engineering standards.

Performance, Cost & Scalability: Consider model selection, token usage, latency, concurrency, retrieval performance and infrastructure cost when designing and optimising AI solutions.

Technical Documentation: Create and maintain documentation covering solution design, workflows, prompts, dependencies, APIs, operational considerations and support requirements.

Collaboration & Communication: Work closely with cross-functional teams, including product managers, BA's, Product Owners and software and platform engineers, to deliver high-quality AI products

Skills required

Strong Python software engineering experience

Hands-on experience developing GenAI/LLM applications

Hands-on experience designing and implementing Agentic AI workflows

Experience with LangGraph

Strong understanding of LLM workflow design, including state, routing, tools, structured outputs and human-in-the-loop patterns

Practical experience designing and implementing RAG architectures

Experience with document ingestion, chunking, embeddings and vector/semantic search

Experience with prompt engineering and structured LLM outputs

Experience with AI/LLM evaluation, testing and quality assurance

Understanding of guardrails, grounding, hallucination mitigation and AI assurance

Experience building and integrating APIs and Back End services

Strong understanding of software engineering principles, automated testing, code review and maintainable application design

Experience handling LLM and agent failure scenarios, retries, error handling and recovery

Understanding of observability and tracing for GenAI/Agentic AI applications

Azure AI & Cloud Services: Hands-on experience building and deploying AI solutions on Azure, including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault.

This temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices.

This role requires the successful candidate to undergo and be eligible for UK Security Vetting at SC level. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, reserved post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.

Project details

United Kingdom Security Vetting: clearance levels - GOV.UK

Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.

Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.

Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.

Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

• Start: 6 months
• Duration: asap
• Location: England, UK, GB
• Rate: 76-76 EUR/h