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
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