Senior AI Engineer | Production AI | Python | LLMs
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Role details
Tech stack
Job description
- As the company’s first senior AI specialist, you’ll play a key role in taking AI capabilities from prototype to production.
- You’ll help shape technical direction, engineering standards, evaluation methodologies and AI workflows while working alongside an experienced software engineering team building a genuinely innovative platform.
- If you enjoy solving difficult engineering problems, experimenting with new technologies and building things properly rather than simply wrapping APIs, this is the type of role that doesn’t come along very often.
What You’ll Be Doing
- Designing and building production AI systems
- Creating AI evaluation and benchmarking frameworks
- Prompt orchestration and workflow design
- Fine-tuning models for specific use cases
- Integrating LLMs into production software
- Working with complex, real-world datasets
- Collaborating closely with software engineers to deliver production-ready AI features
- Helping establish AI engineering standards, tooling and best practices
Requirements
You’ll have strong commercial experience with many of the following:
- Shipping AI-powered products into production
You’ll also enjoy working in an environment where you’ll have genuine ownership, influence technical direction and help build an AI capability from the ground up.
Benefits & conditions
- £90,000 - £115,000 salary (possible higher for someone exceptional)
- Equity & Strong Benefits
- Hybrid working (London)
- Opportunity to build the company’s AI capability from the ground up
- Work on technically challenging, real-world AI problems
- High levels of ownership and technical influence
About the company
We are a very innovative technology company looking to hire our first Senior Applied AI Engineer to help shape and productionise the next generation of AI-powered decision support systems.
This isn’t another role building chatbots or internal knowledge-base assistants. Instead, you’ll be working on AI systems that combine Large Language Models, simulation, live operational data and complex reasoning to help users evaluate multiple courses of action and make better decisions in challenging real-world environments. Joining at this stage offers a rare opportunity to help define how AI is engineered across the business.
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Prepare application
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- Open in Claude
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