Nathan Wills

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

We're hiring on behalf of a client building a next-gen AI platform for regulatory automation. They’re urgently looking for a GenAI Architect to lead the design and deployment of multi-agent systems and integrate cutting-edge LLM capabilities into their SaaS product.You’ll be focused on designing autonomous AI agents that can reason over complex regulatory content and automate key compliance workflows for enterprise customers. This includes building out retrieval-augmented generation pipelines, memory layers, and orchestration logic for goal-directed agent behaviour. The role is remote-first (UK, Ireland, or Europe). Core responsibilities:Designing end-to-end GenAI architecture including RAG pipelines, graph-based memory, vector search, and LLM agent orchestrationDeploying solutions using frameworks like LangChain, Autogen, LlamaIndex, LangGraphDriving AI strategy and performance evaluation with MLOps tools (Langsmith, MLflow, SageMaker)Leading system integration, roadmap definition, and stakeholder collaborationYou’ll work across product, engineering, and AI to bring scalable features into production. If you’ve built GenAI systems in production and enjoy working with advanced agent frameworks, I’d be happy to share more. If you're interested, feel free to respond with your most up-to-date resume/CV and I'll be in touch to discuss your profille.

This role is for a Senior AI Engineer to join a small, high-impact AI team building production-ready tools used by financial professionals. You'll work on LLM-powered copilots, fraud detection systems, and real-time analytics products for portfolio managers, traders, and compliance teams. It's a remote-first role based in Switzerland, with occasional travel to Zurich. Fluency in German is essential, especially for account management and client collaboration. They're looking for someone who can take the lead on building out the Zurich engineering team, so leadership experience and an entrepreneurial mindset are important. You’ll be given real ownership from day one. 🎯 Key Requirements • 5–6+ years in software/AI engineering • 2+ years of hands-on experience working with LLMs • Excellent communication skills, fluent German • Team leadership experience or clear potential to lead • Proactive, self-motivated, and product-minded 🔧 What makes this interesting? • Build full-stack ML products end-to-end • Train and fine-tune LLMs and classical models • Ship clean, testable Python, TypeScript or Go • Collaborate with quants, PMs, and clients • Work in a small, high-trust team where ideas move fast If you're looking for impact, technical ownership, and the chance to help shape a growing AI product line, this could be the one.