AI Engineer
Location: London (Hybrid)
Salary: £65,000 - £75,000 + benefits
The Role
We are working with a fast-growing technology scale-up in London 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