AI Engineer

Experis; City Of London; Híbrido; GBP 111.000 - 119.000; Jornada completa

Descripción de la vacante

Experis seeks an AI Engineer to join a product squad and help design, build and deliver GenAI and Agentic AI products. You will work on production-grade GenAI/LLM solutions with emphasis on reliability and security.

The role requires strong Python software engineering skills, hands-on experience with LLM workflows, RAG architectures, vector search, and Azure deployments.

Formación

• Hands-on experience building GenAI and agentic AI products in production.
• Proficient in Python with production-grade software engineering practices.
• Experience with LLM workflows, RAG, and tooling.
• Familiarity with Azure AI stack and cloud deployments.

Responsabilidades

• Collaborate in a product squad to design and deliver GenAI products.
• Develop production-grade GenAI/LLM solutions using LLMs, RAG and agentic workflows.
• Ensure secure, reliable and maintainable AI-enabled applications.

Conocimientos

Strong Python software engineering

GenAI / LLM applications

Agentic AI workflows

LangGraph

LLM workflow design

RAG architectures

Document ingestion embeddings

Prompt engineering

AI/LLM evaluation & QA

Guardrails & hallucination mitigation

APIs & backend integration

Observability & tracing

Azure AI services

Herramientas

Azure OpenAI

Azure AI Search

Cosmos DB

Redis

Key Vault

Application Insights

Descripción del empleo

AI Engineer

Rate: £600 - £644

Clearance required: BPSS + SC

Nationality requirement: UK Passport Holder

Location: Remote (on-site once a month)

Job Description:

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.

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 backend 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.