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

Zürich, Switzerland
AI Consultant
AI Integration Lead – Workday HCM Contract | 5 months | Fully Remote Start: Mid-September Sector: Global Enterprise  A global organisation is seeking an AI Integration Lead to support its Workday HCM transformation. This role will drive the design and delivery of AI features across key streams including data, integration, testing, and leadership alignment. You’ll act as the bridge between technical teams and business stakeholders to ensure AI is embedded effectively in HR processes, with a focus on workforce planning, talent management, and operational efficiency. Key responsibilities:Advise leadership on the role of AI within the Workday rolloutCollaborate with PMO, data, and integration teams to design and implement AI-driven featuresEnsure AI solutions align with business goals, data quality requirements, and ethical standardsSupport testing and validation of predictive models and automation toolsWhat we’re looking for:Proven experience delivering AI/ML solutions in enterprise environmentsGood understanding of HR systems, ideally WorkdayStrong communication skills and ability to work across cross-functional teamsAwareness of ethical AI principles and data governance in HR contextsThis is a hands-on, delivery-focused role with high visibility across a global transformation. Fully remote with a mid-September start.
Sam OliverSam Oliver
Remote work, United States
Rust Engineering Manager
Rust Engineering Manager | Remote - USA | Up to $200,000 base.We’re partnering with a rapidly scaling technology company building low-latency systems for real-time audio and video applications. Our client is at a pivotal point in their growth and is hiring a Rust Engineering Manager to lead development on performance-critical infrastructure.This is a high-impact, hands-on leadership role, ideal for someone who thrives at the intersection of systems engineering, signal processing, and technical ownership.What You'll Be Doing:Serve as the in-house Rust expert, leading development of latency-critical featuresDesign and implement real-time AV pipelines using Tokio, gRPC, and GStreamerSet architectural direction and scale systems across a modern cloud stack (AWS, Docker, Kubernetes)Collaborate with product and infrastructure teams to align engineering execution with business objectivesMentor engineers and elevate Rust capabilities across the orgContribute meaningfully to technical roadmap planning and milestone deliveryWhat Success Looks Like (First 3–6 Months):Independently deliver high-priority product milestones in RustTake ownership of low-level AV features and performance optimisationLead technical decision-making and improve cross-team development velocityEstablish yourself as the go-to authority on signal processing and Rust developmentWhat They're Looking For:Experience in backend or systems engineering rolesStrong, production-grade experience with Rust and async runtimes (Tokio)Experience with audio/video signal processing - ideally using GStreamerSolid foundation in cloud-native development using Kubernetes, Docker, and AWSExperience with gRPC, Git-based workflows, and mentoring teams in fast-moving environmentsBonus Points:Experience in AV streaming or real-time media infrastructureContributions to open-source Rust projectsThe Business:Our client is a venture-backed, product-led company operating at the edge of real-time computing and advanced media systems. The team is lean, experienced, and shipping fast - with an emphasis on quality, performance, and solving meaningful technical challenges. This is a rare opportunity to own a core technical function within a company that values engineering leadership and deep expertise.
Sam WarwickSam Warwick
Geneva, Switzerland
GenAI Programme manager
Freelance Contract: Lead Product Owner/Programme Manager – GenAI Program Location: Remote (EU-based candidates only) Start Date: ASAP Duration: 6 months A global enterprise client is seeking a Lead Product Owner/Programme Manager to support the delivery of a cross-functional GenAI program. You’ll work alongside the AI Strategy Lead to manage the GenAI roadmap, oversee the intake and prioritisation of AI use cases from across the business, and ensure delivery aligns with governance and strategic value. Key Responsibilities:Own and evolve the GenAI product roadmapManage use case intake, evaluation, and prioritisationTrack delivery across Experiment, Pilot, and Scale phasesAlign cross-functional stakeholders and manage dependenciesEmbed governance and reporting milestones throughout the delivery processSupport communication and change initiatives linked to the GenAI rolloutWhat We're Looking For:Strong experience in product ownership or program managementFamiliarity with AI, ML, or advanced analytics projectsExcellent stakeholder management and communication skillsComfortable working in complex, enterprise environmentsEU-based, with good remote working setup
Sam OliverSam Oliver
Munich, Bayern, Germany
Senior AI Engineer
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.
Nathan WillsNathan Wills
Germany
MLOps Engineer
Job Title: MLOps EngineerLocation: Paris, Munich or remote in EuropeYour mission is to to make AI more efficient, accessible, and sustainable. We build tools to help organizations develop AI with minimal cost and carbon impact.Manage and optimize ML infrastructure and SaaS platform. You’ll develop backend services, basic front-end interfaces, and contribute to cloud platform for model compression and benchmarking. You’ll manage our AWS clusters (For now - open to change), ensuring scalable, reliable compute for ML workloads, and collaborate with ML engineers, software teams, and our go-to-market group.Required Skills:Strong programming skills (Python, C++, Java)Experience with cloud platforms, containerization, CI/CD, and IaC (Terraform/CloudFormation)Familiarity with ML algorithms and pipelinesStrong collaboration and ownership mindsetBonus: Experience with deep learning frameworks or open-source MLOps.
Anthony KellyAnthony Kelly
Switzerland
AI Python Engineer
Python Developer – AI Agent A European tech consultancy is supporting a client on a cutting-edge Generative AI project. The client is developing an agent to extract and structure information from online sources using LLMs. They’re looking for experienced Python developer to work closely with data scientists and data engineers to design and build this agent using LangGraph. Key details:Location: Remote (Have to be in CET timezone)Rate: €350/dayDuration: 3-month initial contract, likely extensionInterview: One-stage Tech Stack:PythonLangGraph (LLM orchestration, prompt/context engineering)Azure (from Foundry platform – containerization possible; Azure experience would be great but not a hard requirement)Ideal Candidate:Strong Python skillsComfortable collaborating with data teamsInterest or experience in LLM applications and agent designAble to reason through system design trade-offs
Sam OliverSam Oliver
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