💻 Job Title: AI Engineer/Researcher (x2) 💰 Salary: £80-150k (DOE) 📍 Location: Soho (3 office days/week)🌴 Benefits:Unlimited annual leave + remote working around holidays if you wish8% employer pension contributionComprehensive health insurance£1,000 L&D budget to use as you see fit📊 Industry: B2B - AI Research - Synthetic Data👥 Team: ~25💸 Funding: ~$15m (Series A)🛂 VISA sponsorship available if neededThis early-stage, well-funded start up is building advanced AI systems that model and simulate complex real-world behaviour at scale. Their platform enables organisations to test decisions, scenarios and strategies using large-scale AI-driven simulations, dramatically reducing time-to-insight compared to traditional approaches.Following a strong early traction and funding injection, they're looking for 2x AI Engineers with deep Research expertise to join a small, highly technical team working at the intersection of large language models, agent systems and scalable backend infrastructure.In this role, you’ll work across agent cognition, memory, reasoning and orchestration, while ensuring the underlying platform is performant, cost-efficient and production-ready. You'll be:formulating research questions about human / agent behaviourdesigning experiments on synthetic populationsvalidating model behaviour against real-world datadeciding what architectures and methods should exist, not just implementing themThe perfect candidate would ideally have experience with LLMs / agent development as well as backend engineering, but the most critical part of the role is definitely deep research expertise,making it ideal for someone who enjoys experimentation and research-driven iteration, but also cares about robust system design and real-world deployment.✅ Must have requirements:PhD / MSc or substantial research experience in AI, ML, CS, Cognitive Science, Physics, Mathematics, or a related fieldDemonstrated ability to conduct independent, hypothesis-driven researchStrong grounding in experimental design, statistical validation, quantitative evaluationStrong software engineering fundamentals in Python and backend frameworks like FastAPI, Flask, DjangoHands-on experience working with ML / AI models (LLMs, NLP, simulation, or related areas)Comfortable working in ambiguity, where the right question is often unclear at the start👍 Bonus points for:Familiarity with fine-tuning workflows, model optimisation and experiment trackingExperience with multi-agent systems, simulations or agent-based modellingExperience building workflows/agents on top of existing modelsExperience with relational databases and vector search / embedding systemsKnowledge of cloud infrastructure, containerisation and deploying ML systems to productionExperience working in fast-moving environments with evolving requirements