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 Engineer
AI Engineer - 12 month contract  A leading consultancy in Zurich is looking for an experienced AI Engineer to deliver projects focused on LLMs and RAG systems in Azure or AWS. This role involves designing, building, and deploying scalable solutions for enterprise clients, working closely with stakeholders in a consulting environment. Key RequirementsProven experience with LLMs and RAG pipelines.Previous consulting/client-facing experience is essential.German language skills strongly preferred; English required.Zurich-based or willing to work onsite 2 days per week.Tech StackPythonLangChain / LlamaIndexAzure or AWS cloud servicesVector databases (Pinecone, Weaviate, FAISS, etc.)API development & integrationKey contract information:Location: Zurich, Switzerland (Hybrid, 2 days onsite)Contract: 12 months (extention likely)
Sam OliverSam Oliver
Toronto, Ontario, Canada
Member of Technical Staff (Frontend)
Member of Technical Staff (Frontend) - On-site (1 day WFH), Downtown Toronto, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-growing Series A startup backed by leading investors, building next-generation AI video technology. With more than 30 million users and one of the world’s largest Discord communities, they’re enabling content creators everywhere - from Hollywood studios to TikTok influencers - to bring ideas to life through controllable video generation.What We’re Looking For:We’re seeking a frontend engineer who combines solid foundations with the ability to adapt quickly to new technologies. You’ll be responsible for designing and delivering high-quality user experiences in an environment where speed and scale matter.Solid Engineering FoundationsStrong coding skills with the ability to build, refactor, and optimize complex systems. You’ll independently ship user-facing features while working closely with design and product.Exceptional Learning AbilityFrontend frameworks, developer tools, and AI integrations are evolving quickly. We’re looking for someone who thrives on picking up new technologies and finding clarity in ambiguity.Technical Focus AreasNext.js strongly preferred.Swift/iOS and React Native experience are nice-to-haves.Ability to design and scale frontend systems that serve large user bases.Bonus points for projects with significant adoption (apps launched, open-source traction) or a background in gaming/entertainment applications.Candidate Profile:1–3 years of experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or independently launched products.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative startup environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior frontend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings
Sam WarwickSam Warwick
Munich, Bayern, Germany
Research Scientist/ Engineer
Join a company pioneering frontier foundation models in 3D, image, and video. Role: Research Engineer/ Scientist Location: London/ Munich (No Remote must be based in either city)Salary: Highly Competitive Salary & Benefits on offer D.O.E Redefine how industries from robotics and AR/VR to gaming and film generate and interact with digital content. You will design and run experiments, implement cutting-edge research, and scale models into production. ResponsibilitiesDesign and run ablations and experiments to improve performance.Evaluate and implement research papers on large-scale data.Train and fine-tune 3D and image/video foundation models.Develop demos, optimise test-time inference, and productionise models. QualificationsBachelor’s, Master’s, or PhD in CS/ML or related field.Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).Strong knowledge of generative models (diffusion, GANs, VAEs, transformers).Experience with large-scale model training and 3D representation learning (e.g., NeRF, Gaussian Splatting).
Anthony KellyAnthony Kelly
Remote work, United States
AI Evaluation Engineer
AI Evaluation Engineer $160,000 - $180,000 Remote (US-based)Are you passionate about shaping how AI is deployed safely, reliably, and at scale? This is a rare opportunity to join a mission-driven tech company as their first AI Evaluation Engineer, a foundational role where you’ll design, build, and own the evaluation systems that safeguard every AI-powered feature before it reaches the real world.This organization builds AI-enabled products that directly helps governments, nonprofits, and agencies deliver financial support to people who need it most. As AI capabilities race forward, ensuring these systems are safe, accurate, and resilient is critical. That’s where you come in.You won’t just be testing models, you’ll be creating the frameworks, pipelines, and guardrails that make advanced LLM features safe to ship. You’ll collaborate with engineers, PMs, and AI safety experts to stress test boundaries, uncover weaknesses, and design scalable evaluation systems that protect end users while enabling rapid innovation. What You’ll DoOwn the evaluation stack – design frameworks that define “good,” “risky,” and “catastrophic” outputs.Automate at scale – build data pipelines, LLM judges, and integrate with CI to block unsafe releases.Stress testing – red team AI systems with challenge prompts to expose brittleness, bias, or jailbreaks.Track and monitor – establish model/prompt versioning, build observability, and create incident response playbooks.Empower others – deliver tooling, APIs, and dashboards that put eval into every engineer’s workflow. Requirements:Strong software engineering background (TypeScript a plus)Deep experience with OpenAI API or similar LLM ecosystemsPractical knowledge of prompting, function calling, and eval techniques (e.g. LLM grading, moderation APIs)Familiarity with statistical analysis and validating data quality/performanceBonus: experience with observability, monitoring, or data science tooling
Benjamin ReavillBenjamin Reavill
New York, United States
AI Customer Success Engineer
AI Solutions Engineer / AI Solutions Architect - Visual Generative AI $150,000 - $180,000 New York - 3x days WFH We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services. Now, they’re looking for a Technical AI Solutions Engineer / Solutions Architect to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows. Why Join?Be part of a category-defining AI company that’s shaping the future of responsible GenAI.Work with globally recognized enterprise clients across multiple industries.Have a direct impact on product evolution through customer insights.Join a team at the forefront of AI innovation with deep expertise in generative visual technologies. What You’ll Be DoingOwn the post-sales relationship with a portfolio of technical enterprise customers.Guide onboarding, technical enablement, and adoption of the platform.Act as a trusted advisor, helping customers translate technical capabilities into business impact.Work directly with client engineering teams to integrate APIs and platform capabilities.Troubleshoot across the stack (APIs, model behaviour, latency, deployment).Lead workshops, demos, and training sessions for technical stakeholders.Gather and translate customer feedback into product improvements.Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs. Requirements:Must-Haves3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Ability to translate technical capabilities into business value.Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.Excellent communication, relationship management, and organizational skills.Nice-to-HavesHands-on experience with generative models (diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model deployment, or on-device inference.Exposure to creative industries (media, marketing, design).Background in data science, software engineering, or applied AI.
Benjamin ReavillBenjamin Reavill
Toronto, Ontario, Canada
Member of Technical Staff (Frontend)
Member of Technical Staff (Frontend) - On-site (1 day WFH), Downtown Toronto, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-growing Series A startup backed by leading investors, building next-generation AI video technology. With more than 30 million users and one of the world’s largest Discord communities, they’re enabling content creators everywhere - from Hollywood studios to TikTok influencers - to bring ideas to life through controllable video generation.What We’re Looking For:We’re seeking a frontend engineer who combines solid foundations with the ability to adapt quickly to new technologies. You’ll be responsible for designing and delivering high-quality user experiences in an environment where speed and scale matter.Solid Engineering FoundationsStrong coding skills with the ability to build, refactor, and optimize complex systems. You’ll independently ship user-facing features while working closely with design and product.Exceptional Learning AbilityFrontend frameworks, developer tools, and AI integrations are evolving quickly. We’re looking for someone who thrives on picking up new technologies and finding clarity in ambiguity.Technical Focus AreasNext.js strongly preferred.Swift/iOS and React Native experience are nice-to-haves.Ability to design and scale frontend systems that serve large user bases.Bonus points for projects with significant adoption (apps launched, open-source traction) or a background in gaming/entertainment applications.Candidate Profile:1–3 years of experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or independently launched products.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative startup environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior frontend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings
Sam WarwickSam Warwick
Nedenes, Aust-Agder, Norway
Senior ML Engineer
SENIOR ML ENGINEER FULLY REMOTE - MUST BE LIVING AND WORKING WITHIN EUROPEAN TIMEZONEWe’re looking for AI Engineers to join long-term projects pushing the boundaries of LLM development. You’ll work on fine-tuning large language models, building retrieval-augmented generation pipelines, developing multi-agent systems, and integrating LLMs into real-world products. The role is hands-on with Python and generative AI frameworks, where you’ll deliver production-ready code for high-impact projects across sectors like finance and government. You’ll join small teams of up to 8 engineers, working closely with stakeholders, and there’s room to grow into leadership over time. Requirements:5+ years in AI/ML engineering with strong PythonExperience in LLMs, embeddings, and frameworks such as LangChainFamiliarity with AWS or GCPPyTorch/TensorFlow knowledge a plusFluent English and strong communication skillsMust have great stakeholder engagement/ client facing expertise 📍 Remote within Europe, UK, or Ukraine (CET +1 preferred) 🚀 Start: December (flexible) 🤝 1-year contract, with option to extend Call Settings Override To From Record Yes No Always use these settings
Nathan WillsNathan Wills
Zürich, Switzerland
Co-pilot specialist
A private bank is looking for an AI specialist to lead the roll out of a co-pilot solution.  The role involves defining how co-pilot is used in banking, managing risks, ensuring compliance and data privacy, and advising on models, tools, and recording processes. You will work with stakeholders to align business requirements with technical delivery and create a framework that can scale across the organisation. Experience delivering co-pilot or generative AI projects in private banking or financial services would be a must have. Candidates with knowledge of data management, model integration, and regulatory considerations alongside co-pilot will have an advantage. Details: • Location: Zurich preferred, but open to remote in Switzerland  • Duration: 6 months, possible extension • Start: ASAP • Remote with limited travel • Process: Two stages This is a high-impact role where you will shape how co-pilot technology is introduced and scaled across a private bank.
Sam OliverSam Oliver