HELLO,
LONDON

Applied AI Engineer  I am working with a fast growing AI company building an enterprise grade AI workspace used by major financial institutions to produce and validate client ready work. The platform replaces complex manual workflows with automated AI systems that scale across global teams and has grown rapidly with backing from top tier investors. This role is for engineers who want to build and ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale. What you will doBuild and deploy backend services and APIs, Python preferred using Django or FastAPIProductionise AI features including RAG, agent orchestration, and evalsCreate data pipelines for training, evaluation, and continuous improvementEnsure performance, reliability, and security across the stackWork closely with founders, engineers, and product teamsWhat we are looking forFive plus years of software engineering experienceProven experience deploying AI applications into productionStrong backend engineering skills and database fundamentalsExperience with cloud infrastructure, Docker, Kubernetes, and CI CDBackground workers, task queues, and Redis experienceFamiliarity with LLM evaluation, monitoring, and safetyDegree from a Russell Group university or equivalent top tier academic background, or alternatively extensive engineering expertise with clear, relevant production experienceThis is a demanding, in office environment with high ownership, shifting priorities, and strong technical standards. You will work directly with founders who have built and exited venture backed companies. If you are an Applied or Agentic AI Engineer looking for real ownership and the chance to build core systems from the ground up, this is worth a conversation.

I am working on a Lead AI Developer role for a UK based team delivering AI solutions into complex, non technical environments. This is a hands on role for someone who codes daily but also leads from the front. You would sit between senior stakeholders and delivery teams, shaping requirements, explaining trade offs, and guiding technical direction without relying on formal authority. What the role actually needs. You are still a builder. Strong in C#, .NET, and Python, comfortable shipping production systems, deploying to cloud, and working with modern AI patterns like LLMs, RAG, and agent based workflows. At the same time, you are confident in front of clients. You can run a requirements session, challenge vague asks, surface constraints early, and translate technical decisions into language that non engineers trust. You have led delivery through influence. Mentoring developers, setting standards, steering architecture discussions, and handling competing priorities when stakeholders want different outcomes. What you would be doingWorking directly with clients to turn real world problems into clear technical designs and delivery plansLeading backlog refinement, sprint planning, and technical prioritisationBuilding and deploying AI enabled features across a Microsoft and Azure focused stackExplaining feasibility, risk, and trade offs in a way that helps stakeholders make decisionsRaising the bar for engineering quality through reviews, coaching, and exampleWhat tends to work well herePeople who have been the technical lead in client facing environmentsDevelopers who enjoy ambiguity and creating clarity rather than waiting for perfect specsEngineers who can say no when needed, and explain why in a constructive wayIf you are interested in this position, feel free to send your updated CV and we'll be in touch if this is a match.

AI Engineer (Infrastructure) – London -Hybrid, £85k Stock Options Are you ready to help world-leading enterprises deploy cutting-edge AI at scale? We’re looking for an AI Infrastructure Engineer to join a pioneering AI company that’s transforming the way businesses operate. This isn’t just AI - it’s agentic AI that can drive decisions, optimize workflows, and unlock insights that were previously impossible. Trusted by Fortune 500 clients across finance, healthcare, and enterprise, this company has grown 500% year-on-year since emerging from stealth mode in 2021, backed by over $50M from top-tier investors and visionary angels. The Role You’ll be the bridge between enterprise infrastructure and AI innovation. Your focus will be on deploying advanced AI solutions into complex client environments, ensuring reliability, security, and scalability. Your expertise will determine how seamlessly it integrates into real-world systems. What You’ll DoCollaborate with top-tier enterprise clients to design and deploy bespoke AI workflows.Build robust architectures leveraging the latest AI technologies, including LLMs, RAGs, MCPs, and agentic workflows.Ensure enterprise-grade deployment across cloud and on-prem environments, with focus on availability, observability, and security.Translate complex business challenges into scalable, intelligent AI solutions.Serve as a forward-deployed engineer, working closely with both technical teams and business stakeholders.What You’ll BringProven experience deploying enterprise-grade AI or machine learning solutions in cloud and/or on-premise environments.Hands-on familiarity with at least one major cloud provider and strong DevOps skills.Client-facing experience with the ability to design, deliver, and support production-grade AI solutions.Strong solution architecture skills and a track record of driving measurable impact.Bonus points for personal AI projects or agentic AI experience.Why This Role Is ExcitingWork on high-visibility projects that truly change how enterprises operate.Join a company backed by world-class investors and trusted by global Fortune 500 clients.Be part of a team where 50% of members are PhDs, selected from over 50,000 applicants.Enjoy a collaborative, hybrid work environment (office Tues & Weds, optional additional days).BenefitsCompetitive salary (flexible for exceptional candidates)Share options and pension scheme25 days’ paid holiday plus bank holidays (carry over/sell up to 5 days)Work abroad days and flexible benefits, including Health/Dental InsuranceLearning & development budget, tech purchase support, office snacks, team events, referral bonusesInterview ProcessInitial screening callHiring manager/team interview (30-45 mins)Take-home challenge (3 hrs)In office interview - Speak with 3 members of the team (30 mins each), then a final chat with foundersThis is your chance to join a company that’s shaping the future of AI in enterprise. If you thrive in a high-impact environment where your work directly drives client success, this role is for you.