Generative AI Engineer

Oscar; Manchester; On-site; GBP 45,000 - 75,000; Full time

Benefits offered by this job

Generous benefits package

Job summary

Oscar, a Manchester-based technology scale-up, is hiring an AI Engineer to design, build, and deploy production-grade AI solutions. You will work on agentic AI, LLMs and intelligent automation, delivering end-to-end AI-powered features.

You will collaborate with software, product and data teams, own projects, and explore LangChain, RAG pipelines, embeddings, and vector search to drive real-world impact.

Qualifications

• 3+ years’ experience in AI engineering or related field.
• Strong Python and production-grade app development.
• Hands-on with Generative AI, LLMs, and agentic workflows.
• Experience with RAG, embeddings, vector search and prompt engineering.
• Experience with cloud environments (AWS/Azure/GCP).

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.

Skills

Python

AI Engineering

LLMs

Agentic AI

RAG pipelines

Embeddings

Vector search

LangChain

LlamaIndex

OpenAI API

Cloud

Git

CI/CD

Testing

Tools

Docker

CI/CD

LangChain

LangGraph

LlamaIndex

OpenAI API

AWS

Azure

GCP

Job description

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