> Markdown version of [/jobs/ext/3793151-senior-ai-engineer-ai-technical-lead](https://www.wearedevelopers.com/jobs/ext/3793151-senior-ai-engineer-ai-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer / AI Technical Lead - **Company:** Avanti Recruitment - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £80,000.0 - £100,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software as a Service, Cloud Computing, Information Engineering, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Systems Integration, Transfer Learning, Large Language Models, Model Validation, AI Platforms, Low Latency, Machine Learning Operations, Data Pipelines, Human in the Loop - **Published:** October 17, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3024535586-2 ## About the Role We're particularly interested in engineers who have moved beyond prototypes and have genuine experience designing, deploying and maintaining AI systems used in production. You'll ideally bring: * Strong commercial Python engineering experience. * Significant experience building and deploying AI/ML applications in production. * Experience designing the architecture of complex AI systems. * Hands-on experience with NLP, LLMs and modern AI technologies. * Strong understanding of data engineering and cloud infrastructure. * Experience building reliable, scalable applications with demanding performance requirements. * The ability to explain technical decisions and assess different architectural approaches. * Confidence taking ownership of projects and guiding other engineers technically. Experience with knowledge graphs, ontologies, recommendation systems, human-in-the-loop learning or LLM fine-tuning would be particularly interesting. You don't necessarily need to have held an Architect or Technical Lead title. What's important is that you've demonstrated the ability to take ownership of technically complex systems and deliver them into production., This is an excellent opportunity for an experienced AI Engineer, AI Architect or Technical Lead who enjoys solving difficult engineering problems and wants to build AI systems that make a genuine difference to how people work. ## Description Are you an experienced AI Engineer who wants to take technical ownership of a new AI platform, rather than simply integrate existing models into applications? We're working with a growing SaaS business developing intelligent document-processing technology for the legal sector. They have an established product and are now investing in a new AI layer that will transform how users analyse documents, automate workflows and make complex decisions. This is an opportunity to work closely with the CTO, shape the technical architecture and take a hands-on role in building production AI systems. The Opportunity You'll take technical ownership of AI functionality being developed within an existing SaaS platform. The challenge isn't simply getting an LLM to produce an answer. It's designing systems that deliver accurate, reliable recommendations, work with complex data and can be maintained and improved in production. You'll be involved in: * Designing the architecture for new AI-powered features and services. * Building production AI/ML systems using Python, NLP and LLM technologies. * Developing intelligent document-processing and information-extraction capabilities. * Integrating LLMs and retrieval-based approaches into existing product workflows. * Designing systems that incorporate user feedback to improve recommendations over time. * Making architectural decisions around scalability, reliability, latency and cost. * Building and optimising data pipelines, model evaluation and monitoring. * Working closely with the CTO and wider engineering team, providing technical direction while remaining hands-on.