> Markdown version of [/jobs/ext/3946941-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3946941-senior-ai-engineer). 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 - **Company:** iO Associates - **Location:** Didcot, UK (Remote available) - **Experience:** Expert - **Salary:** £156,000.0 - £169,000.0 - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Cloud Computing, Python (Programming Language), Software Engineering, Systems Architecture, Systems Integration, Haystack, Large Language Models, Multi-Agent Systems, Agentic-AI, Git, Deployment Automation, Invoking Functions, Model Inference, Docker - **Published:** October 27, 2026 - **Apply:** https://www.totaljobs.com/job/senior-ai-engineer/io-associates-job108236604 ## About the Role * 6+ years of professional software engineering experience. * Demonstrable experience building and deploying LLM-based or agentic AI systems in production environments. * Strong Python development skills. * Commercial experience with frameworks such as: * LangGraph * LangChain * Haystack * Similar agent orchestration technologies Experience designing scalable AI/ML architectures and production systems. Strong understanding of: * Retrieval and search architectures * Embeddings and vector databases * Tool/function calling * State management and memory * Model inference and optimisation Experience working with very large-scale multimodal datasets, including text, imagery, telemetry, and sensor data. Docker, Git, and cloud platform experience (AWS preferred). Experience deploying solutions into secure or regulated environments. Strong stakeholder communication and technical leadership capabilities. ## Description As a Senior Applied AI Engineer, you will design, build, and deploy production-ready agentic AI systems that operate reliably in demanding environments. You will take ownership of system architecture, multi-agent workflows, retrieval and reasoning pipelines, model integration, and deployment strategies. The emphasis is on engineering robust, scalable systems that deliver dependable outcomes in real-world use cases. This is a senior, hands-on engineering role suited to someone who builds AI products from first principles rather than simply integrating existing tools.