Senior Applied AI Engineer

Outside IR35 £ 700 - £900 per day DOE

6 months + likely extension

Oxfordshire (hybrid - 2 days p/w on site)

Our client is a rapidly scaling UK deep-tech company delivering advanced agentic AI capability. This role sits in their AI team, working with a commercial customer in biotech and pharma. They are hiring a Senior Applied AI Engineer to take ownership of the agentic AI systems underpinning their platform, on a contract basis, with genuine influence over how those systems are architected and delivered.

This role suits an engineer who designs and ships systems rather than assembling pre-built components, someone who cares more about how a system performs once it's live and under pressure than how impressive it looks in a demo.

• Architecting and building multi‑agent AI systems end‑to‑end, combining frameworks such as Lang Graph or Haystack where they add value with bespoke orchestration, state management and tool‑calling logic where a framework won’t cut it
• Writing production‑grade code with reliability, latency and graceful failure handling designed in from the start rather than bolted on afterwards
• Embedding LLMs and vision‑language models into live reasoning, search, summarisation and task‑execution workflows, backed by solid retrieval, memory and guardrail design
• Deploying across cloud and on‑premises environments, adapting your approach to each environment’s security and connectivity constraints
• Taking end‑to‑end ownership of production pipelines, from raw data ingestion through to live inference
• Building the monitoring, evaluation and guardrail tooling that shows how a system is actually performing in the field
• Setting technical standards for agentic AI within the team, establishing the patterns other engineers follow and leaving clear documentation behind

• Robust software engineering, including developing LLM‑powered or agentic systems, and a track record operating at senior/lead level
• Strong engineering fundamentals: code that's clean, tested and built to last, not just prototypes that work once
• Commercial track record building and owning multi‑agent or agentic AI systems in live production settings, as an engineer rather than an integrator
• Strong Python skills, comfortable working with Lang Graph, Lang Chain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call
• Real‑world experience deploying AI/ML systems into production, beyond notebooks and proof‑of‑concepts
• Confidence across inference performance, data pipeline design, state/memory handling, and tool or function calling
• Experience building retrieval and search over very large, multi‑modal datasets, including indexing and embedding at scale
• Comfortable with Docker, Git and cloud infrastructure, ideally AWS
• Understanding of secure deployment approaches, including on‑premises and sovereign cloud

• Biotech, pharma or life sciences domain experience
• Multimodal reasoning experience
• Kubernetes experience (EKS or Open Shift)
• MLOps background: evaluation, monitoring, reproducibility
• Observability for agentic systems, covering drift, agent behaviour and performance
• Familiarity with agent‑to‑agent orchestration protocols or the Model Context Protocol (MCP)
• Awareness of secure‑by‑design frameworks (ISO 27001, NIST, OWASP)
• Open‑source AI/ML contributions

• Real technical ownership: shape the architecture, not just work through a backlog
• Work at the leading edge of agentic and generative AI, on systems people genuinely depend on
• Join a fast‑scaling business with a strong chance of the contract extending or evolving further
• Strong day rate reflecting seniority and scope

This is a contract engagement operating outside IR35, offered on an initial 6‑month term with a strong likelihood of extension.