ML & Cloud Infrastructure EngineerLocation: MunichType: HybridSalary: Up to €90,000Join a startup creating a revolutionary 3D AI model. This model will change how industries like robotics, gaming, and AR/VR work with 3D content.Your core job is to design, build, and maintain all the computing systems (infrastructure) that develop and run our AI models.What You Will DoCreate scalable cloud infrastructure for training and running our ML APIs. Deploy and optimize major platforms like AWS, Azure, and GCP. Use Docker, Kubernetes, and Terraform to manage and scale our applications. Optimise storage for the large datasets needed for ML. Respond to cloud incidents, find the root cause, and implement permanent fixes. What You Need (Requirements)3+ years in an ML related cloud role.  Strong proficiency in cloud platforms (AWS, GCP, Azure). Strong proficiency in Docker and Kubernetes. Able to write scripts (Python, Bash, etc.) to automate tasks.

Member of Technical Staff - Pre-Training (Remote US)This is an opportunity to join one of the smartest, most ambitious teams in the AI space. Founded in 2023, this fast-growing research and product company is already being talked about alongside some of the biggest names in foundational model development. They’re building powerful, intelligent agent systems and frontier-scale models - and they believe software engineering is the most direct path toward achieving AGI.With major backing from industry leaders, significant compute infrastructure, and a focus on mission-critical enterprise and public-sector environments, they’re tackling some of the hardest AI challenges out there.The RoleAs a Member of Technical Staff (Pre-Training / Data), you’ll be part of a high-performing Data team inside the Applied Research machinery that powers the company’s pre-training and reinforcement learning breakthroughs. Your goal: build the datasets that make better models possible. This is a hands-on, deeply technical role at the intersection of data engineering, research, and large-scale systems.What You’ll DoBuild, scale, and refine huge datasets made up of natural language and source code to train next-gen language modelsWork closely with pre-training, RL, and infrastructure teams to validate your work through fast feedback loopsStay ahead of the curve on data generation, curation, and pre-training strategiesDevelop systems to ingest, filter, and structure billions of tokens across diverse sourcesDesign controlled experiments that help uncover what works and what doesn’tBe a core voice in shaping how the team approaches data for model training - a vital part of their long-term AGI missionWhat You BringSolid hands-on experience with large language models or large-scale ML systemsStrong track record building or working with massive datasets - from raw extraction through to filtering and packagingExposure to training models from scratch - ideally using distributed GPU clustersProficient in Python and ML frameworks like PyTorch or JAX, plus confidence working in Linux, Git, Docker, and cloud/HPC environmentsGreat if you also have some C++/CUDA, Triton kernels, or GPU debugging backgroundYou’re a thinker and a builder - someone who can read the latest paper and turn it into something real, quicklyWhat’s In It for YouFully remote US37 days of paid time off annuallyComprehensive health cover for you and your dependentsMonthly team meetups - travel, accommodation, and even family attendance coveredHome office and wellbeing budgetA competitive salary plus meaningful equityThe chance to work with some of the brightest minds in AGI and do genuinely original workWhat the Process Looks LikeRecruiter intro callFirst technical interview focused on LLMs, performance, or core engineering skillsSecond technical deep dive into your domain (pre-training, data, scaling, etc.)Culture conversation with the founding engineersFinal discussion on compensation and alignmentIf you’re driven by building systems that could reshape how intelligence works - and you want to be surrounded by people who share that fire - this team is where you belong.

Member of Technical Staff – Frontend (React.js, Next.js)Location: Toronto, Canada (Hybrid)Type: Full-time, Permanent OverviewOur client (Series A, GenAI Content Platform) is hiring a core frontend engineer in Toronto to architect and scale their browser-based animation and video generation interface. You’ll own the React.js / Next.js web app powering AI-driven content creation for a fast-growing global user base. ResponsibilitiesLead frontend feature development using React.js and Next.js (SSR, ISR, SSG).Implement state management patterns (Zustand, Redux, Jotai, etc.).Integrate with REST/GraphQL APIs and real-time ML-driven backend endpoints.Optimise bundle size, rendering, hydration, and caching across devices and network profiles.Build robust testing pipelines (Jest, React Testing Library, Cypress / Playwright).Establish observability for UI performance, error tracking, and release health.Refactor and modularise code for scaling and improved developer experience.Collaborate closely with backend and ML teams on product UX and performance. Requirements5+ years’ professional frontend experience.Expert-level skills in React.js, Next.js, TypeScript, and modern web standards (ES6+, CSS-in-JS, etc.).Track record building and deploying production-grade, customer-facing applications.Strong grasp of rendering lifecycles, VDOM internals, hydration, and frontend performance tuning.Familiarity with edge compute and deployment (Vercel, Cloudflare Workers) and caching (SWR, ISR, CDNs).Bonus: experience with browser media pipelines (Canvas, WebGL, streaming, WebCodecs).Previous start-up or 0-1 product engineering experience preferred.

Member of Technical Staff - Machine Learning Infrastructure/High Performance Inference EngineI’m working with a well-funded AI research company building the technical foundations for a new class of embodied agents and digital humans - systems designed with genuine, human-like qualities that can interact, collaborate, and form real connections with people. Their long-term aim is to scale this work into multi-agent simulations and entire societies of autonomous AI entities.As their Member of Technical Staff (ML Infrastructure), you’d design and scale the platforms that make this possible - from high-performance inference engines to distributed training pipelines and large-scale compute clusters that power intelligent, interactive AI systems. You’d work closely with researchers and product engineers to push the limits of inference performance, strengthen the foundations for agentic AI, and evolve the next generation of training and post-training pipelines.Responsibilities:Accelerate research velocity by enabling SOTA experimentation from day one.Build and optimize the full model training pipeline, including data collection, data loading, SFT, and RL.Design and optimize a high-performance inference platform leveraging both open-source and proprietary engines.Develop and scale technologies for large-scale cluster scheduling, distributed training, and high-performance AI networking.Drive engineering excellence across observability, reliability, and infrastructure performance.Partner with research and product teams to turn cutting-edge ideas into robust, production-ready systems.Qualifications:Expertise in one or more of: inference engines, GPU optimization, cluster scheduling, or cloud-native infrastructure.Proficiency with modern ML frameworks such as PyTorch, vLLM, Verl, or similar.Experience building scalable, high-performance systems used in production.Start-up mindset - adaptable, fast-moving, and high-ownership.Why This Opportunity Stands Out:Elite founding team: Engineers and researchers from MIT, Stanford, Google X, Citadel, and top AI labs.Strong funding and backing: Over $40M raised from Prosus, First Spark Ventures, Patron, and notable investors including Patrick Collison and Eric Schmidt.Serious traction: Their flagship AI companion product has already achieved significant user growth and is generating real revenue.Impact and autonomy: A flat, fast-moving environment where you’ll own critical systems and ship meaningful work within weeks.Longevity in vision: This company is not chasing quick exits - they’re deliberately building what they believe will be a historical company, with long-lasting influence on how humans and AI interact.

Senior AI Engineer (Contract – 3 Months, Remote, Start Mid-November) I’m looking for a Senior AI Engineer to join a fast-moving consulting team working on next-gen LLM applications for enterprise clients. This is a 3-month contract starting mid-November, ideal for someone who enjoys building hands-on with cutting-edge AI tools and shipping real products quickly. What you’ll do:Build and optimize AI features powered by LLMs (OpenAI models).Design and connect workflows using LangGraph and MCP.Implement robust tracking and observability with Langfuse.Collaborate closely with cross-functional teams, with clear communication is key.(Bonus) Help define and run evals to measure model quality and performance.What we’re looking for:Strong experience building with LLMs (prompting, integration, and orchestration).Hands-on experience with MCP.Great communicator who can bridge technical and non-technical discussions.(Nice to have) Experience with evals, RAG, or LLM agent frameworks.Tech stack: - Python- Langfuse- LangGraph- OpenAI models. Details:Start: Mid-NovemberDuration: 3 monthsLocation: Remote (EU-friendly timezone is a must)

Chief Technology Officer (CTO)Location: London (4–5 days per week on-site)Type: Full-timeOverviewWe are looking for a hands-on Chief Technology Officer to lead the technical direction of an early-stage AI company. The ideal candidate will combine strong technical depth with the ability to build and scale a world-class engineering culture. You will work closely with the founders to shape product strategy, oversee technical delivery, and define the roadmap that takes the company from prototype to scale.Key ResponsibilitiesDefine and execute the company’s long-term technical vision and architectureLead the design, development, and deployment of AI products and infrastructureManage and grow a small, high-performing engineering and research teamOversee end-to-end product development cycles, from ideation to deliveryEvaluate and implement best practices in model development, MLOps, and data securityContribute to product strategy, technical partnerships, and investor discussionsMaintain a strong understanding of the latest advancements in AI and applied machine learningEnsure efficient scaling of systems, pipelines, and infrastructure as the business growsPreferred ExperienceProven experience in a senior technical leadership role within an AI, ML, or data-driven companyStrong understanding of modern AI architectures, LLMs, or multimodal systemsExperience managing small engineering or research teamsStrong knowledge of cloud platforms, containerization, and MLOps toolingTrack record of taking an AI product from research or prototype stage to productionExcellent communication skills and ability to work closely with non-technical stakeholdersExperience in a start-up or scale-up environmentWhat We OfferOpportunity to shape the direction of a growing AI company from the ground upAutonomy to build and lead the technical functionCompetitive salary and equity packageCollaborative, fast-moving environment based in central London

We are looking for a GenAI Engineer to join a growing Consulting organisation focused on AI solutions for the varied industries. You will play a key role in developing and integrating enterprise-level AI systems, contributing to the next generation of intelligent tools used by their clients. What You’ll DoDesign, build, and deploy GenAI applications using OpenAI APIs and LLM frameworksDevelop and optimise RAG pipelines for production useCollaborate with cross-functional teams to integrate AI into existing SaaS productsWrite clean, efficient, and scalable code, primarily in PythonContribute to architecture and design discussions around AI deployment and automationEngage with clients and internal teams to ensure alignment on project goalsWhat We’re Looking ForProven background in software development within SaaS or enterprise environmentsStrong practical experience using OpenAI APIs in commercial or large-scale settingsSolid understanding of LLMs, prompt engineering, and model deploymentHands-on experience with RAG pipelines and data retrieval optimisationExcellent communication and stakeholder management skillsAble to work independently and within collaborative teamsNice to HaveFrench for collaboration with teams in LausanneGerman for client interactions in ZurichWhy JoinFully remote flexibility with the option to work near Zurich or LausanneStable, long-term AI projects within the financial sectorClear growth trajectory with opportunities to contribute to upcoming initiativesSupportive, collaborative environment with positive team sentiment

Role: Freelance AI Leader – Banking & Financial Services Location: Geneva, Switzerland (Hybrid / On-site as required) Language: Fluent French (English a plus) Duration: 12 months (freelance / contract) A Swiss consulting firm is looking to engage a senior AI Leader on a 12-month freelance contract to strengthen its offering in the banking and financial services sector. The firm is well established in strategic consulting and transformation, and now looking to accelerate growth through AI-driven solutions. The ideal person will combine business development capability with hands-on delivery leadership. With someone comfortable engaging with senior decision-makers, developing new revenue streams, and ensuring successful project outcomes. Responsibilities:Develop and manage relationships with financial services clients in Switzerland, focusing on AI and data-driven opportunities.Identify new business prospects, shape proposals, and lead go-to-market initiatives.Design and deliver AI strategies that align with clients’ commercial and operational priorities.Advise C-level stakeholders on AI adoption, governance, and implementation best practices.Oversee project delivery and collaborate with internal and external specialists to ensure quality and impact.Support the firm’s broader AI growth strategy through client engagement and thought leadership.Profile:Strong background in AI, data strategy, or digital transformation within banking or financial services.Proven experience in consulting or advisory roles, ideally with a track record of winning and delivering client projects.Good understanding of current AI capabilities, including generative AI, automation, and predictive analytics.Excellent relationship management and communication skills at senior level.Fluent in French, with working English.Based in or around Geneva, able to work on-site with clients when required.Contract:12-month freelance engagement (extension possible)Competitive daily rateHybrid working with client-site presence in GenevaStart: ASAPThis opportunity would suit an independent AI leader or senior consultant who can operate commercially, think strategically, and deliver results in a client-driven environment.