Who you are

• Bachelor's or Master's degree in CS, Math, Physics, AI, or related technical field
• Strong foundation in both AI/ML concepts and backend engineering principles
• Experience working in fast-paced environments where requirements evolve rapidly
• Over 7 years of experience with at least 1 year working hands-on with large language
• Models to solve complex problems
• Research:
• Proof of fast iteration and experimentation in order to validate model performance and outputs
• Exposure to research-driven product development or academic AI research is desirable
• Knowledge of fine-tuning workflows, model optimisation, and experiment tracking
• Understanding of statistical validation and data quality assessment
• Experience with frameworks for building AI / LLM applications (e.g. PyTorch, Hugging Face Transformers, LangChain)
• LLM & Agent Development:
• Hands-on experience building applications with large language models, implementing advanced prompting techniques, RAG systems, and agentic workflows
• Experience with multi-agent systems, simulation frameworks, or agent-based modelling
• Backend Engineering:
• Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures
• Strong ownership mentality—you see projects through from design to deployment
• Pragmatic problem-solver who balances technical elegance with business needs
• Clear communicator who can explain complex technical decisions to non-technical
• Stakeholders
• Thrives in ambiguity and adapts quickly as product requirements evolve
• Passionate about building infrastructure that enables innovative AI applications
• Intellectually honest—willing to question prevailing approaches and advocate for
• Better solutions when evidence supports it
• Collaborative mindset—debates ideas vigorously while respecting other perspectives

What the job involves

• As an AI Engineer you will be part of the wider technical team but positioned within Science.You’ll research and build the systems that bring our AI agents to life and you will work with engineering to scale the infrastructure that powers our LLM-driven synthetic populations

Benefits

• We have an excellent health insurance package for employees with BUPA.
• All full time employees are enrolled onto our options scheme at the end of their probation period, which will be explained to new joiners in detail.
• We offer Unlimited Time Off and believe it is important for you to take sufficient rest through the year.
• Electric Twin has a generous pension scheme where we will match your individual contributions within a window of 4% - 8% under a net pay structure.
• Cycle to Work Scheme.
• We want to make sure we are providing you with what what you need to excel in your role. For IT we will provide a laptop and any accessories that you might want (e.g. monitor, keyboard etc).
• In an effort to stay on top of current trends and developments, we offer £1,000 annual L&D budget for you to use as you see fit.