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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.

Opportunity to Join a stealth AI Video Start-up.Role: Founding ML Engineer Location: Berlin (Hybrid)Salary: Upto 130,000Product: AI for ads, replacing the manual production with fully automated, AI-generated content that actually performs.What You’ll Build:Multimodal GenAI systems that turn product descriptions, customer data, or ad briefs into complete video ads—script, visuals, voice, music, and timing.Text-to-video generation pipelines integrating LLMs, diffusion models, and TTS for coherent, on-brand storytelling.Realistic lip-synced avatars and voiceovers to humanize product messaging—matching tone, pacing, and emotion.Automated editing and scene composition tools (e.g. camera motion, transitions, overlays) guided by AI and ad performance data.Scalable ML infrastructure to train, deploy, and serve GenAI models in production.Ideal Experience:Minimum 5 years AI/ ML Experience2+ years relevant GenAI experienceIdeally you have End-to-end experience with multimodal AI; LLMs + diffusion models + audio/video synthesis

We're hiring a senior-level engineer to architect the data platform behind a GenAI-powered market intelligence agent for a company in Zurich. You'll work directly with the CTO and help scale a real-time system used by thousands of businesses worldwide. The role includes:Designing a web-to-profile pipeline with distributed crawling and deduplicationBuilding LLM enrichment chains using RAG, LangChain, Semantic Kernel or LlamaIndexArchitecting a multimodal knowledge base across Postgres, pgvector, Cosmos DB Graph, and DuckDBIntegrating finance, trade, and product data from external sourcesLeading hands-on data ops across GitHub Actions, dbt, Airflow, and OpenLineageIdeal background:Experience with Python (typed, async), Spark or DaskStrong system design and data architecture experience at scaleDeep understanding of LLM pipelines and prompt/tool orchestrationFamiliarity with Microsoft Fabric, Azure Blob/Data Lake, or similar platformsif you'd be interested in this position, feel free to reply with your most updated resume/CV!

Software Engineer (Full stack & AI) Location: Menlo Park, California, United States (On-site)Type: Full-time/permanentIf you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!  As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases. Key ResponsibilitiesArchitect and build backend systems to manage user data and support highly concurrent AI-driven workflows.Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery. What You Bring2–5+ years in backend engineering, ideally in AI/LLM-powered environments.Strong fluency in Python, Java, or Go, and modern frameworks.Experience working with SQL/NoSQL databases and big data pipelines.Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.Practical knowledge of streaming architectures (WebSockets, SSE).Hands-on AI integration experience: prompt engineering, secure model execution, context management.Excellent problem-solver, communicator, and collaborative teammate. Team & CultureSmall, agile team blending engineering with applied research.US-based, in-person environment with visa sponsorship offered.Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.Fluid, ambitious culture with a strong emphasis on ownership and impact. Why You’ll Love Working HereCrafting systems that redefine agent/user interactions.Innovating in a space few have the vision, or freedom, to explore.Positioned for growth, your work here shapes the product and roadmap.Within a hub next to Stanford and deep into the Bay Area’s AI ecosystemApply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.

Research Engineer – AI Systems R&D Location: Menlo Park, California, United States (On-site)Type: Full-time/permanent Are you excited by the challenge of translating cutting-edge AI research into real-world applications? Do you thrive at the intersection of engineering and innovation, building experimental frameworks and tools to accelerate scientific discovery?An Applied AI Research company in Menlo Park is looking for a Research Engineer to join its advanced R&D team. In this hands-on role, you’ll help bridge the gap between exploratory research and deployable systems - playing a key part in the development of next-generation intelligent agents and AI architectures. What You’ll Be Doing:Implement and iterate on novel machine learning techniques, tools, and benchmarksBuild infrastructure that supports large-scale experimentation and performance evaluationEvolve internal agent frameworks, focusing on efficiency, adaptability, and scalabilityCollaborate with researchers to translate new ideas into practical prototypes and working systemsMaintain a high-quality codebase, leveraging version control, CI/CD, and peer reviewsWhat We’re Looking For:Background in software engineering with experience working on ML or AI-centric systemsProficiency in Python and/or C++, with a deep understanding of code optimisation and system-level designFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow) and experience building tools that support research workflowsStrong grasp of experimental methods, benchmarking, and AI evaluation metricsCreative problem-solver with a collaborative mindset and solid communication skillsWhy This Role?Work at the forefront of applied AI research with a team that values technical depth and creative freedomShape early-stage systems with the potential to influence future product design and capabilitiesJoin a tight-knit, high-impact team tackling some of the most compelling challenges in modern AIIf you're ready to build and scale the backbone of AI research and deployment, we’d love to hear from you! Apply now to learn more with a confidential conversation.

Director of Product Management Location: New York (3 days in office)Compensation: $180,000 - $230,000 A fast-growing AI start-up is on a mission to redefine how brands engage their audiences. This platform puts AI on the front lines - empowering organisations to connect directly with consumers through intelligent, brand-safe agents deployed across owned and paid channels.As their Director of Product, you'll shape and lead the roadmap for a next-generation platform at the heart of AI-powered consumer engagement. You'll work cross-functionally to turn ambiguous problems into clear, high-impact product strategies, while collaborating with enterprise partners, internal teams, and company leadership to deliver exceptional outcomes. What You’ll DoDefine and own the product roadmap, balancing vision with rapid execution and measurable success metricsDesign and launch innovative new features that harness AI to deliver value across marketing, customer experience, and brand engagementWork closely with design, engineering, and go-to-market teams to bring new concepts to lifeTranslate customer and stakeholder needs into scalable product solutionsContinuously evaluate market trends and emerging technologies to inform product strategy and positioningCommunicate product direction with clarity and influence at all levels, from team leads to C-suiteWhat You Need10+ years of product management experience, ideally with 4+ years in marketing tech, advertising tech, or customer engagement platformsBachelors or Masters degree within relevant technical/scientific fields Proven track record leading AI-focused product initiatives and go-to-market launchesHighly analytical mindset paired with a passion for elegant, user-centric designStrong communication skills, able to align diverse stakeholders around a clear product visionComfortable working in a fast-paced, evolving environment where innovation and agility are keyApply now to learn more with a confidential conversation!

Our client – a lean, intellectually rigorous investment firm – is seeking exceptional Senior Quant Researchers to join their systematic equities team. This is a rare opportunity to help drive alpha generation at a fast-moving, collaborative fund where deep research and innovative thinking are core to performance. 🔍 What You’ll Do:Develop and test novel mid-frequency equity strategies grounded in empirical researchGenerate original alpha signals using large datasets, systematic techniques, and market intuitionCollaborate with a small, high-performing team across research, engineering, and portfolio managementContribute to the full strategy lifecycle: hypothesis -> research -> implementation -> performance review🎓 Ideal Background:5–10 years’ experience in systematic equities, alpha research, or mid-frequency tradingStrong command of applied mathematics, statistics, or quantitative financeDemonstrated experience building and deploying alpha-generating strategiesDeep research mindset — you live for unsolved problemsTrack record of independent thinking and intellectual integrityAdvanced degree (PhD strongly preferred) from a top-tier institution (Harvard, MIT, Stanford, Oxford, Cambridge, etc.)🧠 Culture & Fit:You question assumptions. You challenge models. You don’t fool yourself.You thrive in lean, agile environments where your impact is tangibleYou prefer rigour over hype — and believe systematic thinking is a competitive edgeNo interest in crypto, hype cycles, or chasing trends — just alpha, pure and simple“The first principle is that you must not fool yourself — and you are the easiest person to fool.” – Feynman If that resonates, we should talk.

AI IDE  Expert 📍 Amsterdam, Netherlands 🧠 Full-time, OnsiteThe RoleOur client is hiring a senior technologist to lead innovation in intelligent development environments. You’ll be working on advanced IDE systems that integrate AI to simplify and speed up the software development process. The goal is to improve how developers build, test, and ship code across new and emerging ecosystems.Key ResponsibilitiesDesign and prototype next-generation IDEs, focusing on distributed workflows, multimodal interfaces, and seamless developer experienceDevelop AI4SE (AI for Software Engineering) capabilities such as code generation, intelligent suggestions, and automation toolsResearch and implement AI-driven features that improve productivity and support new use cases within modern dev environmentsCollaborate with leading academic and research institutions to solve complex technical problems and bring innovations into real-world productsStay ahead of industry trends and help define the future of intelligent development toolingWhat We’re Looking ForStrong experience in software engineering or AIGC, ideally with a background in building or contributing to popular IDEs or developer tools (e.g. VSCode, JetBrains, Copilot, Cursor)Solid grounding in machine learning, NLP, or big data, with hands-on experience in areas like code generation, semantic search, or intelligent recommendationsCreative problem solver with a track record of turning ideas into working systemsClear communicator with the ability to collaborate across research, engineering, and product teamsLeadership experience in larger technical teams is a strong plus