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

Greater London, South East, England
Lead Speech Research Scientist (ASR/TTS)
Lead Speech Research Scientist (ASR/TTS) London preferred | Remote considered | Visa sponsorship availableWe’re collaborating with a growing AI company developing advanced conversational technologies that power intelligent voice and chat systems for global enterprises. This is a senior research and leadership role for someone with deep expertise in ASR, TTS, and related speech–language technologies. You’ll head a high-impact research group, working directly with company leadership to define research priorities, guide technical direction, and translate innovations into production.Key Responsibilities:Lead applied research and development in speech recognition, speech synthesis, and conversational AI.Define the research roadmap and ensure alignment with strategic and product goals.Mentor and grow a team of researchers, fostering collaboration and innovation.Translate real-world product challenges into clear research objectives and milestones.Oversee data strategy, evaluation metrics, and system performance.Collaborate closely with product and engineering teams to deploy research outcomes.Represent the team externally through papers, conferences, and community engagement.What We’re Looking ForPhD (preferred) or Master’s in Speech Technology, Computer Science, or related field.Proven expertise in Automatic Speech Recognition (ASR) and/or Text-to-Speech (TTS).3+ years of applied research experience in speech or language AI (industry or academic).2+ years leading or mentoring research teams or projects.Strong programming skills in Python, with deep learning experience using PyTorch.Practical experience taking models from research to production environments.Bonus SkillsExperience with multilingual or low-resource speech systems.Familiarity with LLM integration into conversational pipelines.Strong engineering foundations (Git, Docker, CI/CD).Publications in major speech or AI conferences (e.g., Interspeech, ICASSP, NeurIPS).This is a key hire in a company entering an exciting growth phase — an opportunity to shape the future of speech and conversational AI while leading a talented, expanding research team.
Jonathan HarroldJonathan Harrold
Greater London, South East, England
AI Product Manager - GenAI
For an AI led start-up in London, we are currently looking for a senior AI product lead that could align well with your background. The company is building AI-powered automation for the property sector and is looking for a Product Leader to take the platform from early traction to scalable growth. They’re open to someone who has founded and built a product before, ideally with experience as a CPO or senior PM in a tech-first setting. Exposure to agentic or generative AI would be ideal, and property experience would be a strong plus. Someone who has owned end-to-end product delivery for AI-driven products, especially those involving LLMs, agentic systems, or automation workflows, would be a great fit. They should understand both the technical capabilities (how AI models are built, trained, and deployed) and the commercial implications (how to turn those capabilities into value for users). Key responsibilities: • Define and own the product roadmap to drive scalable growth. • Launch high-impact AI features such as chat, document extraction, or workflow automation. • Translate customer insights into data-driven strategy and prioritisation. • Align engineering, design, and GTM to accelerate delivery and adoption. • Refine pricing, positioning, and product-market fit as the product scales. It’s a strong opportunity for someone who blends AI product vision with startup execution. Feel free to reply with your updated CV if you feel you are a good fit for this role!
Nathan WillsNathan Wills
New York, United States
AI Customer Success Engineer
AI Solutions Engineer / AI Solutions Manager - Visual Generative AI$150,000 - $180,000New 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 Manager 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
Spain
LLM Engineer (Mid-Senior)
LLM Engineer (Mid-Senior)Location: SpainSalary: €65k-€80k base + bonuses + relocation packageAbout the Company:A rapidly growing deep-tech firm creating advanced AI solutions that enhance efficiency and performance across sectors such as finance, energy, and manufacturing. Our diverse, international team thrives on collaboration and innovation. Role Overview: We are looking for an LLM Engineer to develop, refine, and deploy large language models. You will work on state-of-the-art AI projects, integrating models into products and solving complex, practical challenges.Key Responsibilities:Design and implement techniques to make LLMs more efficient, scalable, and effective.Conduct thorough evaluations and optimizations to improve model accuracy, speed, and reliability.Identify opportunities for innovation and propose creative solutions.Maintain clear documentation of experiments and outcomes; support and mentor junior engineers.Keep up to date with advances in LLM research and emerging AI technologies.Required Qualifications:Master’s or Ph.D. in AI, Computer Science, Data Science, or related field.Mid: 2+ years hands-on experience with transformer models; Senior: 5+ years including other deep learning architectures.Strong Python programming skills and experience with PyTorch, HuggingFace, and cloud/deployment tools.Solid understanding of deep learning concepts, model training, and GPU performance optimization.Excellent communication skills; fluent in English.Preferred Qualifications:Experience delivering AI solutions in industry.Spanish language skills and familiarity with large-scale cloud/HPC environments.Experience evaluating LLMs, building RAG systems, or working on other AI applications (CV, audio, signal processing).Awareness of AI ethics and best practices; DevOps/MLOps experience a plus.Perks & Benefits:Permanent contract with performance bonus and signing bonusPrivate health coverage, relocation and visa support if neededFlexible hours, hybrid work, educational budget, language classesCareer growth opportunities and collaborative work culture
Jonathan HarroldJonathan Harrold
Greater London, South East, England
AI Engineer
We’re looking for an AI Engineer to join a fast-moving team in London that’s transforming how property management operates. This isn’t a maintenance role it’s about taking ownership of cutting-edge AI systems from research to production. 🎯 Your first 3–6 months You’ll be driving product–market fit for an AI-driven compliance automation product. Expect hands-on model experimentation, fine-tuning, and deployment, working alongside talented Backend, Frontend, and DevOps teams already in place. 🔥 What comes next From Q1 to Q3, your scope will expand to build and productionise AI features across maintenance and lettings. By month 12, success means: • High adoption of the compliance product with measurable accuracy gains • Core models live in production with real performance impact • You taking the lead on AI direction, moving toward a leadership position within 12–18 months 💡 What you’ll bring • 2–3+ years of hands-on ML/AI experience (LLMs or NLP preferred) • Proven ability to take models from research to production • Solid Python and ML frameworks background • Top-tier academic record Bonus if you’ve worked with property data, PMS integrations, or tools like LangChain or RAG systems. 💰 Why join Competitive pay plus equity. Clear path to technical leadership. Immediate impact on the roadmap. If you feel you are a good fit for this, feel free to respond with your most up to date CV and I’ll be in touch to discuss further.
Nathan WillsNathan Wills
Zürich, Switzerland
AI/ML Engineer
Are you passionate about building AI systems that make a real impact? Do you enjoy turning research into production-ready solutions? We are looking for an AI & ML Engineer to join a team creating advanced AI/ML applications across fraud prevention, risk management, and operational optimization. You will work on end-to-end ML workflows, including generative and agentic AI solutions, and help scale LLM deployments on GPU clusters using modern MLOps and AIOps practices. 🚀 What you’ll do:Design, develop, and deploy AI/ML applications, including RAG systems and agentic AI workflows 🤖Optimize LLM training and inference across GPU clusters using Kubernetes and AIOps tools ⚡Turn prototypes into production-ready systemsExplore and experiment with cutting-edge AI/ML methods and technologies 🔬Contribute to improving internal practices and workflows for AI operationsMaintain and support AI-related infrastructure and toolsWhat we’re looking for: Must-haves:4+ years of experience building and maintaining ML systems (PhD counts)Strong Python skills 🐍Solid Linux experience 🖥️Experience with complex computational or scientific modelingUnderstanding of MLOps, AIOps, and deploying AI systems in productionNice-to-haves:Hands-on experience with LLMs, RAG systems, or agentic AIFamiliarity with Kubernetes ecosystem (Helm, ArgoCD)Projects or experience with open-source LLM tools (vLLM, llama.cpp, open-webui)Knowledge of parallel or distributed computingExperience with UI frameworks like Streamlit or Svelte for AI prototypesBasic SQL or workflow orchestration (Airflow)
Nathan WillsNathan Wills
Boston, Massachusetts, United States
AI/ML product Manager
Senior Product Manager (LLMs / AI Agents) $170,000 - $210,000+ (DOE) Boston, MA - Hybrid (2x days per week in-office) We’re partnered with a Series B AI company that’s reimagining how large enterprises deploy intelligent agents in regulated industries. Their platform enables Fortune 500 insurers and financial institutions to safely automate complex, multi-step workflows, from customer interactions to back-office processing, using powerful, enterprise-grade AI agents. As a Senior Product Manager, you’ll take ownership of critical parts of the roadmap shaping the next generation of AI agent technology. You’ll work at the intersection of product, engineering, and customer success, turning ideas into scalable tools that bring transparency, trust, and measurable ROI to enterprise automation. What You’ll DoDefine and deliver product features that help enterprises evaluate, supervise, and continuously improve their AI agents in production.Build intuitive AI-powered dashboards and reporting tools that offer deep visibility into performance, compliance, and customer outcomes.Partner with customers and internal teams to create agent-building experiences that feel seamless. Where configuration, testing, and deployment are guided by real-time AI assistance.Collaborate cross-functionally to launch and scale products that drive measurable value for Fortune 500 clients and high-growth startups alike.What We’re Looking For:4–7 years of relevant technical experience with at least 3 years in a PM role.Proven success shipping enterprise SaaS products, ideally in AI, data, or automation-heavy domains.Strong technical fluency, able to discuss APIs, data models, and system architecture confidently with engineering teams.Excellent communicator and collaborator, capable of influencing technical and executive stakeholders alike.Comfortable in fast-moving, high-growth environments where priorities shift and creativity thrives.Nice to Have:Experience with AI/ML platforms, contact center technology, or enterprise integrations.Previous startup or early-stage experience.Familiarity with regulated industries such as insurance, healthcare, or finance.Background in Computer Science, Engineering, or a related technical field.Apply now or reach out directly to benjamin@deeprec.ai for more details.
Benjamin ReavillBenjamin Reavill
Boston, Massachusetts, United States
Machine Learning Engineer (LLM)
Machine Learning Engineer (LLM) $160,000 - $200,000+ (DOE) Boston, 2 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 LLMs (Hugging Face, PEFT).Familiarity with AWS (especially S3 for model management) 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:Experience with RLHF or preference optimization.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