AI Engineer
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Role details
Tech stack
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Job description
This is an opportunity to join a high-calibre engineering team building production-grade AI systems that solve complex, real-world business challenges. You’ll work on cutting-edge LLM applications, agentic workflows, retrieval systems, and AI infrastructure, with the chance to influence technical direction and contribute to a fast-growing product at the forefront of applied artificial intelligence., * Build and deploy agentic AI workflows using tools such as LangGraph and LangChain.
- Design and optimise RAG pipelines, including vector search, embeddings, and retrieval strategies.
- Develop LLM-powered applications for document intelligence, classification, extraction, and reasoning.
- Create evaluation frameworks and observability tooling to monitor AI performance, quality, and cost.
- Engineer scalable backend services using Python, FastAPI, cloud technologies, and modern software engineering practices.
Requirements
- Strong commercial experience developing software and AI applications in Python.
- Hands-on experience building and deploying LLM, generative AI, or machine learning systems in production.
- Expertise with LangGraph, LangChain, or similar orchestration frameworks.
- Experience designing and improving RAG architectures and vector database solutions.
- Knowledge of AI evaluation, observability, and cloud-based software engineering best practices.
About the company
They are a rapidly growing technology business developing AI-powered solutions that help organisations unlock value from complex, data-rich environments. Their platform combines advanced machine learning, large language models, and workflow automation to support critical decision-making processes.
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