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

Meet Anthony

Anthony Kelly

Co-Founder & MD EU/UK

Meet Hayley

Hayley Killengrey

Co-Founder & MD USA

Meet Benjamin

Benjamin Reavill

Consultant - US

LATEST JOBS

New York, United States
Machine Learning Engineer (NLP)
Permanent$140000 - $200000 per annum
Machine Learning Engineer (NLP) About the Company This early-stage environmental intelligence startup is building next-generation AI systems that help global organisations understand and plan for water-related risks. Their platform combines deep learning with physics-based modelling to generate high-resolution insights for some of the world’s largest infrastructure operators, consumer brands, and investors. Backed by leading scientific minds across climate, hydrology, and machine learning, the company is now expanding its capabilities by developing a new social risk function that captures the human, regulatory, and community dynamics that shape water outcomes around the world.Why JoinJoin a team pushing the boundaries of environmental intelligence, combining physical and social risk modelling into a unified AI platform. Work with world-class researchers, publish meaningful science, and help deliver tools with tangible global impact.Pioneer a new capability: You’ll be the first ML engineer dedicated to modelling social, political, and reputational water risk.Cutting-edge work: Blend NLP, LLMs, graph intelligence, and geospatial modelling into a real, production platform.Genuine impact: Your models will inform global water stewardship decisions across high-risk regions.Interdisciplinary collaboration: Work alongside scientists and researchers across climate, hydrology, and social systems.Early-stage ownership: Build from first principles in a fast-moving, mission-driven startup with strong early traction.What You’ll DoBuild NLP, LLM, and multi-modal pipelines to analyse community, regulatory, media, and public-sentiment signals — including stance detection, topic/event clustering, and stakeholder network mapping.Fuse unstructured social data with geospatial and physical-risk datasets to generate unified risk insights for real-world decision-making.Partner with climate and domain scientists to translate social signals into actionable risk metrics, contributing to both product development and peer-reviewed research.Deploy scalable, interpretable ML systems into production via APIs and platform infrastructure.What You Bring3 years building applied ML/NLP systems, ideally across text, geospatial, or social-network data, including sentiment/stance modelling and multi-source pipelines.Strong Python plus experience with PyTorch/TensorFlow, SQL, and modern LLM tooling (Hugging Face, LangChain, OpenAI APIs).Skilled with entity extraction, topic modelling, network/graph analysis, and data sourcing or weak supervision in multilingual environments.Passion for climate, water, or environmental risk, and comfortable working in an early-stage, collaborative, low-ego environment.Nice to HavePhD / Postdoc with track record of pace and quality of publicationsGraph ML experience or multi-modal fusion (text geospatial).LLM fine-tuning for domain-specific tasks.Deployment experience with FastAPI, Docker, or similar frameworks.Background or exposure to environmental science, hydrology, or social-data analysis.
Benjamin ReavillBenjamin Reavill
Posted about 2 hours ago
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Vaud, Switzerland
AI Low code architect
Contract€400 - €500 per day
AI Low-Code Architect (Contract, EU/CH) Location: Europe or Switzerland Workload: 100% Start: ASAP Seniority: Senior / PrincipalLength: 6 months Role Overview We are looking for a highly technical AI Low-Code Architect to support a large enterprise in evolving its automation and AI ecosystem. The position focuses on designing the platform setup, ensuring the right governance structures are in place, and guiding teams on how to build scalable AI and low-code solutions using Power Platform, Copilot Studio, and Azure AI. Key Responsibilities: • Define the technical setup for the organisation’s AI and low-code landscape, covering environments, integration points, and platform configuration. • Shape the security and identity model for the platform, ensuring safe access and consistent governance. • Set standards for how solutions should be designed, deployed, and maintained across Power Platform and Azure. • Lead technical working sessions with architecture, engineering, and security stakeholders. • Provide direction to development teams on how to structure apps, flows, connectors, and AI components. • Create clear architectural documentation to support delivery teams and future enhancements. • Advise on feasibility, technical risks, and overall solution approach for new initiatives. Required Experience • 6–10 years in cloud or Microsoft-focused architecture roles. • Deep understanding of Power Platform architecture (Dataverse, environments, solution structure, ALM). • Strong hands-on exposure to Copilot Studio, Azure OpenAI, Cognitive Search, Logic Apps, and Functions. • Solid grasp of enterprise identity, RBAC, and secure integration practices. • Fluent English. Nice to Have • Experience in large or regulated enterprise environments. • Knowledge of multi-agent AI patterns or Azure AI Foundry.
Sam OliverSam Oliver
Posted 1 day ago
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Vaud, Switzerland
AI Project Manager
Contract€400 - €500 per day
Project Manager – AI & Low-Code (Contract – 6 Months, Remote EU, Start ASAP) We’re looking for an experienced Project Manager to drive a Europe-wide AI & Low-Code program for a global enterprise client. This fully remote 6-month contract is ideal for someone who thrives on coordinating multiple teams, keeping projects on track, and delivering results in fast-paced environments. What you’ll do:Plan, track, and oversee delivery across multiple squads and countriesCoordinate developers, architects, secuirty and data teams Run agile ceremonies, manage dependencies, and resolve blockersProduce reports, dashboards, and updates for stakeholders and steering committeesSupport testing, go-live, and post-launch activitiesWhat we’re looking for:5–10 years’ experience managing IT or digital transformation projectsFamiliarity with conversational AI deliveryManaging distributed teams and international stakeholdersFluent in EnglishNice to have:PMP, Prince2, or Scrum certificationExperience with enterprise AI programs or Microsoft CoEDetails:Start: ASAPDuration: 6 monthsLocation: Remote (EU-based is a must)Rate: €400–500/day depending on experience
Sam OliverSam Oliver
Posted 2 days ago
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San Francisco, California, United States
Senior RL Research Scientist
Permanent$200000 - $250000 per annum
Senior RL Research Scientist / Reinforcement Learning ScientistJoin a frontier AI team building systems that can act in the physical world, experimenting, optimizing, and controlling real processes through advanced ML, simulation, and automation. This group is pushing the boundaries of physical intelligence, backed by significant long-term funding and a mandate to invent from first principles. If you want to:Work on problems few teams in the world can touchBuild RL systems that power real tools, workflows, and scientific processesOperate in a fast, high-ownership, deeply technical culture…this is the kind of role that defines a career. The Role You’ll design and deploy reinforcement learning systems that control complex tools, optimize multi-step processes, and operate across high-fidelity simulations and digital twins. Expect hands-on research, real-world experimentation, and tight collaboration with teams across ML, simulation, and systems engineering. What You’ll DoBuild RL environments for tool control, workflow optimization, and long-horizon decision-makingDevelop safe and constrained RL methods, verifier-driven rewards, and offline to online training pipelinesCreate state/action representations and evaluation frameworks for reliable policy behaviorWork with cross-functional researchers and engineers to deploy RL agents into real workflowsWhat You BringStrong background in RL, optimal control, or sequential decision-makingExperience applying RL to complex simulated or physical systemsFamiliarity with safe/constrained RL, verifiers, or advanced evaluation pipelinesAbility to design environments, rewards, and diagnostics at scaleComfort working across ML, simulation, and systems interfaces
Benjamin ReavillBenjamin Reavill
Posted 2 days ago
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San Francisco, California, United States
Senior LLM Research Scientist
Permanent$200000 - $250000 per annum
Senior LLM Research ScientistA frontier-stage research group is building a new class of AI systems designed to reason, plan, and act across the physical world. Their mission is to create intelligent agents capable of experimenting, engineering, and constructing in ways that dramatically accelerate scientific and industrial progress. This team combines deep technical pedigree with real-world wins at scale, including major government-funded initiatives. They operate where advanced model research meets robotics, simulation, and automated engineering systems, offering the kind of impact only possible when first-principles science meets ambitious execution. Joining means stepping into a high-ownership environment where you shape core capabilities end-to-end, influence the direction of physical-world intelligence, and help build technology the world has never seen before. Why This Role Is CompellingWork on cutting-edge reasoning, planning, and tool-use models that directly control autonomous engineering systems.Push the limits of SFT, RLHF, DPO, verifier-guided RL, and long-horizon planning in a setting where your research immediately translates into real-world capability.Operate in a high-velocity research culture with exceptional peers across agent systems, simulation, data, and complex toolchains.Have outsized ownership in a small team tackling one of the most ambitious technical problems of this decade.Role Overview The team is looking for an LLM Research Scientist to pioneer next-generation reasoning and agent architectures. Your work will span model design, alignment strategies, structured tool orchestration, and experimentation with agents interacting across real engineering workflows. This position blends deep research with hands-on systems integration, offering both autonomy and scope to lead foundational progress. Key ResponsibilitiesDevelop advanced models and prompting systems for planning, multi-step reasoning, and structured tool use.Lead training initiatives across SFT, RLHF/DPO, verifier-guided RL, and modular expert architectures to strengthen robustness and controllability.Define schemas, tool-calling strategies, policy constraints, safety mechanisms, and recovery pathways for agent behavior.Partner closely with engineering, simulation, and data teams to test, train, and evaluate models embedded in real production-like toolchains.QualificationsSignificant experience in LLM research, agent reasoning models, or structured tool-use frameworks.Strong background working with SFT, RLHF, DPO, or reinforcement-learning-from-verification methods.Demonstrated ability to design, analyze, and improve long-horizon behaviors and decomposition strategies.Comfortable working across ML research, systems engineering, and real-world experimentation in a fast-moving environment.A track record of excellence and ownership in technically demanding domains.
Benjamin ReavillBenjamin Reavill
Posted 2 days ago
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San Francisco, California, United States
Senior Agentic AI Engineer
Permanent$200000 - $250000 per annum
Senior Agentic AI EngineerA frontier AI company is building systems that can act in the physical world, experimenting, engineering, and executing multi-step processes with real-world constraints. Backed by major research funding and operating at the edge of physical-AI innovation, they’re creating capabilities that don’t exist anywhere else. Join to work from first principles, own high-impact systems end-to-end, and help define how agentic AI will operate complex workflows in the real world. Why This Role MattersBuild agent systems that plan, execute, and recover across intricate engineering workflowsShape foundational behaviour patterns for next-gen LLM tool-useJoin early enough to influence architecture, culture, and performance standardsWork on problems that sit far beyond typical “LLM app” engineeringWhat You’ll DoDevelop planners, state machines, and tool-calling flows using frameworks like LangGraphCreate schemas, action definitions, and cross-tool interfaces for reliable, traceable executionBuild error-handling, timeouts, retries, rollbacks, and replay mechanismsPartner with ML, infra, and systems teams to integrate agents into real engineering toolchainsWhat You BringStrong experience with agent systems, structured tool calling, or orchestration frameworksDeep intuition for schemas, deterministic execution, and multi-step workflow designAbility to model failure modes, edge cases, and safe interactions in complex systemsComfort working across AI, systems engineering, and specialised domain tools in a high-precision environment
Benjamin ReavillBenjamin Reavill
Posted 2 days ago
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Remote work, United States
AI Evaluation Engineer
Permanent$180000 per annum
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
Posted 11 days ago
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Berlin, Germany
AI Project Lead
Permanent£70000 - £90000 per annum
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
Posted 15 days ago
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