Generative AI Engineer

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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