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

Benjamin Reavill

Consultant - US

LATEST JOBS

Remote work, United States
AI Evaluation Engineer
AI Evaluation Engineer$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
Berlin, Germany
AI Project Lead
AI Project Lead – Berlin (Hybrid)Salary: €70,000–€90,000 + BonusHybrid: 3 days per week in our Berlin office, travel to client site 2-3 times a monthWe are looking for a Client-Facing AI Project Lead to join a fast-growing, highly profitable consultancy at the forefront of applied artificial intelligence. Join a team of 30 friendly nerds who work with corporates, NGOs, Mittelstand companies, and scale-ups to create meaningful AI breakthroughs - from fast-paced MVPs to large-scale transformations.Please Note: This is NOT an engineering role. This is a Project Management and Leadership role focused on client delivery, stakeholder management, and driving exponential value. You will be supported by an expert technical team.What You’ll DoBe obsessed with achieving an actual AI breakthrough with the client and delivering exponential value.Lead fast-paced AI projects from inception to complete integration, ensuring alignment with defined goals and scope.Act as the core point of contact for our clients, driving efficient collaboration across functions and organizational borders.Build trust and maintain strong relationships with stakeholders at all levels (The "charm" factor!).Contribute to a growing, high-impact company and help shape its culture and direction.What We’re Looking ForProject Management Expertise: At least 2 years of experience successfully managing projects from start to finish, with a focus on delivering tangible value (ideally in consulting or a related field).High Processor Speed: Incredibly fast in anticipating, analyzing, and solving problems; able to understand technical basics and use tools effectively.Strong Communication: Excellent verbal and written communication skills; ability to lead workshops and confidently handle numbers.Language Skills: Ability to communicate effectively in German (speaking, writing) is required.Academic Foundation: A technical background (Bachelor’s or Master’s) is highly valued.Soft Skills: Demonstrable ability to deal with ambiguity ("See it. Say it. Sort it!") and build lasting trust.Ideally, You Also BringUnderstanding of and experience in AI projects and Machine Learning.Familiarity with project management methodologies such as Agile.High proficiency in both German and English (C1 level or higher).Willingness to travel to client sites 2–3 times per month across Europe.What We OfferAscension: Opportunity to do the best work of your career with significant autonomy and real impact in a key leadership role.Captivating AI Projects: Engage with high-impact projects that offer ample room for experimentation, continuous learning, and growth.Top-Tier Compensation: We offer top-of-market pay for this AI Project Lead role.Professional Environment: Flexible work environment based on trust, collaboration, and our innovative “No rules rules” philosophy.Supportive Culture: Family-friendly policies, flexible hours, and an active commitment to diversity, inclusion, and Female Empowerment (mentorship and leadership support).
Anthony KellyAnthony Kelly
Boston, Massachusetts, United States
ML Scientist / Agentic AI Architect
Agentic AI Architect / ML Scientist Location: Boston Massachusetts Type: Full time I am representing a deep tech organisation building an AI powered materials discovery platform. Their system integrates advanced model architecture with computational chemistry and large scale simulation. The company has strong financial backing, over 200 million USD in liquidity, and partnerships with leading automotive and energy companies, giving real-world impact to its technology.About the platform At the heart of the company’s work is a high-dimensional system that maps and predicts molecular behaviour at scale. It combines physics-informed models, learned representations, and automated simulations to accelerate discovery of next-generation battery and electrolyte materials. This system also supports agentic reasoning, interpretable predictions, and causal insights, allowing the platform to guide scientific exploration autonomously.What you will work onDesign and develop foundation models and agentic AI systems for scientific applicationsApply multimodal reasoning and causal inference to molecular and materials datasetsBuild interpretable models with next-generation explainability tools for scientific MLDevelop representation engineering approaches to improve model generalisation and accuracyWork closely with chemists, physicists, and engineers to translate scientific challenges into ML solutionsContribute to experiments that validate and benchmark AI predictions in real-world materials discoveryMentor and collaborate with team members across levels to share best practices in AI researchWhat you bringStrong background in ML, foundation model design, or AI research applied to scientific domainsExperience in molecular simulation, materials science, or physics-informed MLKnowledge of agentic AI, causal reasoning, multimodal reasoning, or interpretable ML techniquesFamiliarity with large datasets in chemistry, materials, or battery sciencesAbility to communicate complex AI concepts to scientific and technical teamsResearch mindset with curiosity for building models that can reason and act autonomously
Nathan WillsNathan Wills
Berlin, Germany
AI/ML Engineer
AI/ML Engineer – Berlin (Hybrid) Salary: €70,000–€90,000 + Bonus Hybrid: 3 days per week in our Berlin office We are looking for an AI/ML Engineers to join a fast-growing consultancy at the forefront of applied artificial intelligence. Join a team of 30 engineers and innovators works with NGOs, Mittelstand companies, and scale-ups to create meaningful AI breakthroughs - from fast-paced MVPs to large-scale transformations. What You’ll DoShape and deliver fast-paced AI projects that move from proof-of-concept to production-ready MVPs.Build data pipelines, design and run ML workflows, and develop and deploy scalable web services.Collaborate with clients to integrate solutions into their systems and drive real business impact.Work across diverse sectors — from corporates and scale-ups to NGOs and the public sector.Contribute to a growing, high-impact company and help shape its culture and direction.What We’re Looking ForStrong experience building scalable software systems in a professional setting.Hands-on experience implementing AI/ML solutions in production environments.Solid technical foundation in Python and modern software engineering practices.Ability to deal with ambiguity, find practical solutions, and deliver high-quality results.Strong communication skills and ability to interact with clients in German (B1 level or higher).Ideally, You Also BringExperience with data science tools (e.g. pandas, matplotlib, scikit-learn).Experience working with large language models (OpenAI, Claude, etc.).Knowledge of front-end development and/or Docker.Experience integrating web services with SAP.Willingness to travel to client sites 2–3 times per month.What We OfferOpportunity to do the best work of your career with autonomy and real impact.Challenging and meaningful AI projects with room for growth and experimentation.Professional yet flexible environment built on trust, collaboration, and curiosity.Family-friendly policies, flexible hours, and commitment to diversity and inclusion.Equal opportunities and active support for women in tech through mentorship and leadership programs.
Anthony KellyAnthony Kelly
Toronto, Ontario, Canada
Member of Technical Staff (Frontend)
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.
Sam WarwickSam Warwick
Berlin, Germany
Senior AI engineer
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)
Sam OliverSam Oliver
Boston, Massachusetts, United States
Machine Learning Engineer (LLM)
Machine Learning Engineer (LLM) $200,000 - $220,000+ (DOE) Boston OR Berkeley, 2-3 days per week in-office We’re working a fast-growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting-edge AI to simplify high-value processes, from multi-turn conversations to full workflow automation. As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi-agent workflows. You’ll take ownership of designing, fine-tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions. What You’ll Do:Build, fine-tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.Develop APIs, data pipelines, and orchestration systems for multi-agent, multi-turn AI conversations.Integrate models with backend services, including voice orchestration platforms and transcript generation.Optimize model usage and efficiency, transitioning from external APIs to in-house solutions.Collaborate cross-functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions. What We’re Looking For:Essential Skills & Experience:Strong proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Hands-on experience fine-tuning and training LLMs.PEFT, DPO, Prefence Optimization, post-training, supervised fine tuning, RLHFFamiliarity with AWS suite and deploying ML models to production.Ability to reason deeply about ML principles, architectures, and design choices.Knowledge of multi-agent orchestration and conversational AI systems.Desirable Skills & Experience:Background in voice AI, speech-to-text, or text-to-speech systems.Exposure to financial services or insurance applications.Familiarity with optimizing models for long-context scenarios. If you’d like to hear more, please apply or get in touch!
Benjamin ReavillBenjamin Reavill
Boston, Massachusetts, United States
Senior Data Scientist
Senior Data Scientist – Generative AI About the Company A fast-growing technology firm is transforming how the global insurance market operates by automating complex workflows across sales, servicing, and claims. Starting with cutting-edge voice automation and now expanding into full end-to-end workflow automation, the team is pushing the boundaries of reasoning agents capable of managing the entire spectrum of insurance operations. Location Boston, MA or Berkeley, CA – hybrid schedule (2 days per week in-office) The Role We are seeking an experienced Data Scientist to drive large-scale Generative AI initiatives. You will design and build advanced LLM-powered conversational pipelines and automation systems that reshape how insurance tasks are performed. This is a hands-on, strategic role for someone who can both set a high-level vision and dive into the technical details. - Key ResponsibilitiesDesign, architect, and build GenAI conversation pipelines across chat, voice and SMS using techniques such as multi-agent orchestration and retrieval-augmented generation (RAG).Develop scalable evaluation pipelines to measure the performance of enterprise-grade AI/ML solutions.Work closely with ML engineers to deploy, operate and continually optimize large-scale solutions.Collaborate with product managers to shape user journeys, design feedback loops, and analyse user telemetry.Deliver end-to-end AI/ML product experiences tailored to insurance workflows.- What We’re Looking For5+ years of industry experience delivering ML/AI solutions in production.Proven success in building and scaling GenAI or Agentic AI systems in a professional setting.Ability to think strategically while remaining hands-on with optimisation and implementation.Comfort working in a fast-moving, ambiguous environment and translating complexity into clear action.Strong communication skills for sharing innovations internally and externally.Deep understanding of machine learning algorithms and evaluation frameworks, including:Deep learning frameworksSupervised fine-tuning of LLMsPreference optimisation methods for domain adaptation in LLMsTrack record of applying trustworthy AI/ML practices in collaboration with cross-functional stakeholders.- Compensation and BenefitsCompetitive base salary (range dependent on experience)Meaningful equity participationComprehensive benefits package, including location-specific plan options
Sam WarwickSam Warwick