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79 of 472 matching · page 2 of 2

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Agent engineeringSeniorTop pickNew

Generative AI Engineer

OscarManchester, United Kingdom (Hybrid)

Posted 1d ago/Full-time/£55k–£70k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The engineer would own production agents with tool calling and multi-step workflows, plus RAG systems spanning embeddings, retrieval and vector search. The work includes reliability, cost and performance improvement, with potential exposure to multi-agent orchestration, guardrails, evaluations and model observability.

About the job

AI Engineer

Location: Manchester (Hybrid)

Salary: £55,000 - £70,000 + benefits

The Role

We are working with a fast-growing technology scale-up in Manchester that is investing heavily in its AI capabilities and building out a team focused on the practical application of Generative AI.

They are looking for a hands-on AI Engineer to help design, build, and deploy production-grade AI solutions, with a particular focus on agentic AI, LLMs and intelligent automation.

You will work across a variety of projects, developing AI agents, RAG applications, internal tools and intelligent workflows using modern AI technologies. This is a strong opportunity for an engineer who wants genuine ownership and the chance to work with some of the latest developments in AI.

Key Responsibilities

Design, build, and deploy production-ready AI applications using LLMs
Develop agentic AI systems, including tool-calling and multi-step agent workflows
Build end-to-end RAG pipelines, including embeddings, retrieval and vector search
Work with frameworks such as LangChain, LangGraph, LlamaIndex or similar
Integrate LLMs and AI services into existing products, APIs and business workflows
Prototype and test new AI capabilities before taking successful solutions into production
Work closely with software, product and data teams to deliver scalable AI solutions
Contribute to the wider AI roadmap and identify opportunities to apply emerging AI technologies
Evaluate and continuously improve the performance, reliability and cost of AI systems

Required Skills & Experience

3+ years’ experience in AI Engineering, Machine Learning, Software Engineering or a similar role
Strong Python skills and experience building production-quality applications
Hands-on experience working with Generative AI and LLMs
Practical experience building AI agents / agentic workflows
Experience with RAG, embeddings, vector search and prompt engineering
Experience using frameworks such as LangChain, LangGraph, LlamaIndex or similar
Experience integrating model APIs such as OpenAI, Anthropic or open-source models
Exposure to cloud environments such as AWS, Azure or GCP
Strong software engineering fundamentals, including Git, testing, APIs and deployment
A pragmatic, delivery-focused approach to building real-world AI products

Nice to Have

Experience with multi-agent systems and agent orchestration
Exposure to vector databases such as Pinecone, Weaviate, Qdrant or FAISS
Experience with LLMOps / MLOps, monitoring and evaluation
Familiarity with AI guardrails, evaluation frameworks or model observability
Experience deploying AI applications using Docker and CI/CD
Exposure to fine-tuning or working with open-source LLMs
Previous experience within a high-growth technology or scale-up environment

What’s on Offer

Salary up to £75,000 depending on experience
Generous benefits package
Opportunity to join a growing technology scale-up investing heavily in AI
Significant exposure to agentic AI and emerging LLM technologies
High-impact role with genuine ownership over AI products and solutions
Collaborative, technically ambitious environment

Stack

python
langchain
langgraph
llamaindex
openai
anthropic
aws
azure

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