GenAI

Market-leading GenAI Recruitment. Connect with the Best Opportunities in Deep Tech

Whether you’re fine-tuning foundation models, building RAG pipelines, or developing multimodal systems that blend text, audio, and vision, GenAI careers are redefining what it means to solve complex challenges at scale.

In the world of Deep Tech recruitment, defensible, dependable talent pipelines are the difference between scaling breakthrough technologies and stalling out before they ship.

Building something bold? We’ll find you the people to do it with.

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Where is GenAI Recruitment Heading? 

When it comes to GenAI, the pace of change is relentless, and the opportunities are endless. New roles are emerging faster than companies can adapt, and top talent is harder to find (and retain).

We know that speed, precision, and agility are essential when the stakes are high and the market's moving quickly. Every hiring project is unique in GenAI, and your recruitment solution needs to be just as dynamic. 

Contract, Permanent, retained, embedded, executive recruitment – DeepRec.ai have the means to match the best candidates with the brightest opportunities in GenAI. 

How Competitive is the Talent Market Right Now? 

Very. Tech may seem like a saturated market, but hiring managers are well aware that the niche skills GenAI candidates bring to the table are few and far between. There's a limited talent pool to source from, and traditional hiring methods won't cut it, especially when employers are forced to compete against massive budgets. At a glance: 

  • GenAI roles have seen immense growth in financial services and the life sciences. Deep Tech startups and scaleups are now forced to compete with a much broader range of industries. 
  • Companies are paying a high premium on skill sets with the GenAI tag. Expect a 5% salary uplift at the minimum. 
  • Speed is a key differentiator. While this is always the case in recruitment, Deep Tech, and GenAI in particular, move faster than most markets. Top candidates will not wait around for a drawn-out process; there are too many opportunities out there. 
  • Currently, experience is highly concentrated. This means that the majority of real-world GenAI deployment experience sits with a small group of candidates. 
  • Talent mobility is a major consideration for today's employers. With limited talent pools, relocation capabilities are essential. We've supported various companies with this in recent hiring mandates, and it's helped them retain precision and speed in the process.

We Speak Deep Tech

Finding it tough to connect with the right opportunities? Jobs at the cutting edge of discovery aren’t easy to find or define. That’s where the consultants at DeepRec.ai come in. We know our transformers from our diffusion models, our fine-tuning and pretraining, and we know what real-world GenAI deployment looks like.

From LLM engineers and prompt specialists to infrastructure leads and applied researchers, from startups and spinouts to global AI labs, we work with the innovators building and scaling the platforms of the future.

Our Deep Tech headhunters work with market-leading businesses across the UK, Ireland, Switzerland, Germany, and the US.

Want to know more about our service? Whether you’re hiring or job hunting, tell us what you need and we’ll take care of the rest.

GENAI CONSULTANTS

Anthony Kelly

Co-Founder & MD EU/UK

Hayley Killengrey

Co-Founder & MD USA

James Davis

Principal Consultant | USA

Benjamin Reavill

Consultant - US

LATEST JOBS

Mountain View, California, United States
Founding Frontend Engineer
Founding Frontend EngineerCompensation: Up to $250,000 + Equity + BenefitsLocation: Mountain View, CA or Waterloo, ON (Hybrid)DeepRec.ai have been retained to help scale the engineering team at a newly launched, well-funded AI startup focused on building practical GenAI tools for everyday users. The founding team brings experience from companies like Twitter, Airbnb, and Uber, and the product has already reached thousands of early adopters through a successful closed alpha.Now entering a key growth phase, the team is hiring a Frontend Engineer to take ownership of the web stack and help shape the next chapter of the product. This role blends frontend technical leadership with a user-focused mindset—ideal for someone who’s excited by fast build cycles, collaborative product thinking, and seeing their work in the hands of real users.Responsibilities:Lead development of responsive, high-performance UIs using React and Next.jsCollaborate with product and design to create polished, accessible user experiencesOptimize frontend performance and maintain long-term code qualityBuild features in close coordination with backend and data engineering teamsSet up and maintain CI/CD pipelines and testing infrastructureDocument, debug, and scale the frontend codebaseHelp define frontend best practices and support future team growthQualifications:4+ years of professional frontend development experienceStrong proficiency in React and Next.jsExperience building and scaling consumer-facing web applicationsSolid grasp of modern JavaScript (ES6+), HTML, and CSSFamiliarity with styling frameworks like Tailwind CSS and responsive designConfident working with REST APIs and Git-based workflowsStrong attention to performance, maintainability, and securityClear communication skills and a proactive, problem-solving mindsetBonus Points:Previous experience at early-stage or fast-growing startupsWorked on high-traffic consumer products (e.g., 100k+ DAUs)Exposure to AI/LLM-enabled applications or recommendation systemsFamiliarity with TypeScript, testing libraries (Jest, Cypress), or performance toolingKnowledge of accessibility standards and inclusive designComfort working across the stack or collaborating closely with backend teamsExperience building from scratch or contributing to open-source projects
Sam WarwickSam Warwick
Lisbon, Portugal
Azure AI Architect
Azure AI Solution Architect – Remote Contract Location: Remote (Has to be EU-based) Language: Fluent/native English required Start: ASAPDuration: Until end of 2025, extremely likely extension A growing Microsoft-focused consultancy is seeking an experienced Azure AI Solution Architect to lead the design and delivery of enterprise Azure and Generative AI projects. You will act as the technical lead across solution architecture, client engagement, and delivery. Working with services like Azure Cognitive Search, OpenAI, and DevOps pipelines. The role is fully remote and client-facing, within a fast-moving, technically mature team. What you’ll bring:8+ years in Microsoft ecosystems (.NET, Azure PaaS)Strong experience in AI/ML and GenAI solution architecture (Azure Cognitive Services, Azure OpenAI)Understanding of prompt engineering and patterns like RAGExcellent communication skills across tech and business stakeholdersNice to have:Azure certificationsExperience with LLMs (GPT, BERT, LLaMA)Portuguese or French language skills
Sam OliverSam Oliver
Zürich, Switzerland
Azure GenAI Architect
Why this role matters Lead the design and deployment of enterprise-grade generative AI solutions on Azure. Your work will drive innovation and deliver measurable value across business functions. Responsibilities • Design scalable, secure generative AI architectures using Azure OpenAI Service, Azure ML, Cognitive Services, AKS, and vector databases. • Define and lead AI adoption strategies aligned with business objectives, focusing on text, image, and code generation use cases. • Evaluate, integrate, tune, and operationalise foundation models like GPT, DALL·E, and Codex. • Build automated AI pipelines and MLOps workflows with Azure ML, Data Factory, Synapse, DevOps, and LLM orchestration tools such as LangChain or Semantic Kernel. • Ensure compliance with responsible AI principles, data governance standards and regulatory requirements. • Partner with senior leadership to translate technical concepts into clear business recommendations. • Stay current with generative AI trends and emerging Azure tools; propose new use cases and solutions. Required experience and skills • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML or related field. • At least seven years of solution architecture experience, including a minimum of two years working hands-on with Azure AI and generative models. • Expertise in Azure OpenAI Service, Azure ML, Cognitive Search, AKS, and vector databases such as Cosmos DB, Pinecone or Weaviate. • Practical experience with LLM orchestration frameworks like LangChain or Semantic Kernel, and with prompt engineering and model fine‑tuning. • Programming proficiency in Python, C# or equivalent, and solid understanding of REST APIs, CI/CD pipelines and DevOps practices. • Preferred certifications: Microsoft Certified: Azure Solutions Architect Expert and/or Azure AI Engineer Associate. What's in it for you?• Competitive base salary with performance-based bonuses. • Flexible working arrangements to support work-life balance. • Opportunities to work on leading-edge generative AI projects with visible business impact. • Access to training, mentoring and support for achieving Azure certifications. • Collaborative, innovative team culture focused on real-world outcomes. What sets you apart Proven ability to deliver tangible results—share past projects where you architected or deployed generative AI solutions, including key metrics and business impact. Demonstrated use of Azure-native tools and best practices in MLOps and responsible AI.
Anthony KellyAnthony Kelly
Mountain View, California, United States
Applied AI Researcher
Applied AI Researcher  $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are recruiting for an Applied AI Researcher possessing deep expertise in contemporary large language model frameworks and demonstrated experience implementing generative AI solutions in production environments. Key ResponsibilitiesMonitor and analyze emerging trends in generative AI and assess their strategic application potentialEvaluate new methodologies and technologies for integration into existing systemsArchitect, develop, and maintain sophisticated LLM-based applicationsManage complete machine learning pipelines encompassing data preprocessing, model development, performance evaluation, and deployment operationsTranslate complex technical concepts for diverse audiences, from technical specialists to business stakeholdersPrepare comprehensive documentation and presentations on research findings and technical decisionsPartner with software engineers, UX designers, and data science teams to deliver innovative AI-powered solutionsContribute to product strategy and technical roadmap development About YouBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related quantitative field – PhD desirable!Minimum 3 years of hands-on experience in machine learning and AI developmentProven track record of successfully deploying AI models in production environmentsExperience with enterprise-scale AI implementationsAdvanced Python abilityExtensive experience with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXDeep understanding of machine learning algorithms, data structures, and optimization techniquesUnderstanding of MLOps practices and deployment strategiesIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!
Benjamin ReavillBenjamin Reavill
Mountain View, California, United States
AI Engineer
AI Engineer $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments. Key ResponsibilitiesArchitect, implement, and maintain LLM applicationsOversee complete ML lifecycle managementHandle data analysis, processing, and model architecture designDevelop training protocols, evaluation metrics, and MLOps infrastructureMonitor and analyze emerging trends in GenAI technologiesEvaluate potential applications of new developments for product enhancementContribute to strategic technical decision-makingPresent technical concepts to diverse audiences with varying technical backgroundsContribute to innovative AI solution development across multiple product areas About YouMinimum 3 years of ML experienceDemonstrated success deploying scalable AI models in production environmentsAdvanced programming capabilities with PythonProficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXExperience with model optimization and deploymentBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similarPhD or equivalent industry experience preferred Preferred QualificationsPublished research in recognized AI/ML conferences or journalsActive contribution to relevant open-source projectsParticipation in competitive ML platforms (Kaggle, etc.)Engagement with AI/ML professional communitiesPrevious experience in startup or scale-up environmentsIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!
Benjamin ReavillBenjamin Reavill
Paris, Ile De France, France
Quantitative Researcher / Data Scientist
Quantitative Researcher – Crypto Markets & Signal Modeling A remote-first trading company is looking for a Quantitative Researcher or Data Scientist to help uncover short-term alpha in emerging crypto assets. You'll focus on surfacing opportunities in memecoin markets using a mix of blockchain analytics, sentiment signals, and time-series modeling. Key Details:Start date: ASAPLocation: Remote - EuropeContract: 3 months (potential to extend or go permanent)Rate: €500–€550/dayRole OverviewDevelop data-driven signals using blockchain indicators such as wallet flows, token velocity, and on-chain user activityBuild fast-reacting models to support short-horizon trading strategies with high win potentialUse real-world backtesting and live data to validate and adjust strategy parametersTrack platform-level performance metrics (e.g. retention, revenue trends) to support operational insightsWork closely with engineering teams to translate models into production-grade trading botsIdeal ProfileAdvanced academic background (PhD or equivalent experience) in a quantitative disciplinePrevious work in high-performance trading environments (HFT, hedge funds, or crypto-native quant firms)Strong command of Python, R, or MATLAB with a focus on market modeling and alpha researchFamiliarity with crypto trading ecosystems, especially volatile altcoins or Solana-based assetsComfortable navigating uncertain, noisy data and high-frequency environments
Sam OliverSam Oliver
Paris, Ile De France, France
Agentic AI Engineer
Freelance Agentic AI Engineer – A stealth startup trading company is looking for an experienced Agentic AI Engineer to develop autonomous trading agents using reinforcement learning and deep learning. The focus is on real-time execution across memecoins and large-cap crypto assets, powered by Solana. Key DetailsStart date: ASAPLocation: Fully remoteContract: 3 months (with option to go permanent)Day rate: €520/dayWhat You’ll DoDesign and train RL/DL models for crypto asset tradingBuild real-time trading agents integrated with Solana (e.g. Pyth Network, RPC APIs)Develop strategies for high-volatility memecoins and liquidity-aware large-cap coinsImplement risk controls to manage exposure across asset classesWhat We’re Looking ForPhD in AI/ML or 5+ years at leading AI/Web3 firms Demonstrated success deploying AI-powered trading systems with measurable performanceStrong background in reinforcement learning, deep learning, and financial modelingBonus: Experience with Solana, live trading infrastructure, or agentic AI
Sam OliverSam Oliver
Remote work, Germany
Senior Research Engineer
Work on AI and Video Generation as an Applied Research Engineer/AI Engineer. Focus on developing lifelike human avatars without the need for a studio.Title: Senior Research Engineer (Avatars/ Diffusion)Location: Fully RemoteSalary: upto €140,000Responsibilities:Develop cutting-edge CV algorithms for realistic human avatars.work on the lasted Generative AI research initiatives such as Diffusion based models and transformers.Support team in advancing synthetic avatar generation.Requirements:Academic and industry expertise Video Generative AI.2+ years in generative computer vision (GANs, diffusion models, auto-encoders).Proficiency in Python and deep learning libraries (PyTorch, TensorFlow).Expertise in building scalable and maintainable CV algorithms.Take the next step towards an exciting career by clicking the "Apply" button. We look forward to hearing from you!
Anthony KellyAnthony Kelly