GenAI and Agentic Systems

Market-leading GenAI Recruitment. Connect with the Best Opportunities in Deep Tech.

Whether you’re fine-tuning foundation models, building RAG pipelines, or developing agentic 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. Connect with our GenAI specialists:

Talk to a GenAI consultant

Looking for the best jobs in GenAI? We have the opportunities:

Explore live roles

Why Choose DeepRec.ai for GenAI Recruitment? 

  • Our GenAI recruitment practice operates through dedicated delivery teams focused exclusively on this space. Within that, we maintain specialist coverage across core GenAI skill sets - including agentic architectures and Natural Language Processing (NLP) - enabling us to build deep market insight, long-term candidate relationships, and execute with speed in highly competitive talent markets.

  • We combine a global reach with a granular understanding of local market trends. Our Deep Tech headhunters work with leading businesses across the UK, Ireland, Switzerland, Germany, and the US.
  • DeepRec.ai's community-led approach to recruitment creates access to hard-to-reach talent. In talent-scarce markets (like most of deep tech), the best candidates are often passive and difficult to access through traditional means. We built a global deep tech community to connect exceptional talent with rewarding opportunities, creating value for both candidates and the organisations building at the bleeding edge. 

  • Trinnovo Group holds the SECO and AUG licences that let us provide compliant, cross-border talent solutions across Switzerland and Germany

  • DeepRec.ai sits alongside our sister brands, Broadgate, Trust in SODA, and Sorai, to complete Trinnovo Group's ecosystem. This provides us with access to unparalleled market expertise under one roof. Operating at the intersection of technology, regulation, and advanced technology, we are uniquely positioned to support the most pressing and complex needs of modern business. 

  • As part of Trinnovo Group, DeepRec.ai is B Corp certified, reflecting our commitment to operating responsibly, ethically, and with long-term impact across our clients, candidates, and the wider tech ecosystem.

GenAI and Agentic Systems Salary Guide

DeepRec.ai's latest GenAI and Agentic systems salary guide is live! It's built with fresh insights and live market data from across the industries we serve. Whether you want to benchmark salaries against the market standards, learn more about which roles are in demand, or better understand your role's value, this guide has you covered: 

Read our full salary guide here

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? 

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% minimum salary uplift

  • 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.

The Rise of NLP

The rise of Natural Language Processing (NLP) has taken the world by storm, and we’re here for it. NLP has played a defining role in the evolution of generative AI, ranging from predictive text all the way through to fully-fledged virtual companions. Demand for talent and investment is sky high. 

As GenAI adoption accelerates, NLP capability has shifted from experimentation to production. This latest phase is driving strong demand for domain-specific expertise, where talent pools are short, projects are time-sensitive, and competition for experienced practitioners is intense. 

Increasingly, NLP capability is being embedded within agentic GenAI systems, where language models act as decision-making components inside larger autonomous workflows

This level of demand requires more than generalist recruitment support. Hiring effectively in NLP-driven GenAI environments depends on a deep understanding of evolving role definitions, technical requirements, and highly competitive talent markets.

Through sustained engagement with our dedicated AI community, a wealth of experience earned from successful hiring mandates, and a deep technical fluency, DeepRec.ai's consultants have a clear, real-time view of how NLP roles differ across domains, industries, and stages of growth.

Looking for a precise and dependable NLP talent partner?

Connect with a Consultant

 

MEET THE TEAM

Anthony Kelly

Co-Founder & MD EU/UK

Hayley Killengrey

Co-Founder & MD USA

Theodore Faulkner

Business Manager, United States | AI & ML

Jonathan Harrold

Principal Consultant | DACH

Benjamin Reavill

Consultant - US

Edward Killin

Principal Recruitment Consultant

David Rodwell

Senior Recruitment Consultant

Luke Weekes

Senior Consultant

Greater London, South East, England
AI Strategy consultant
AI Strategy & Executive Advisor – Ticketing & EventsContract: 2–3 monthsLocation: Remote – must be based in EuropeEngagement: ContractWe’re looking for an experienced AI Executive / Strategy Leader to support a business within the ticketing and live events sector on a short-term strategic project.The role will work closely with senior leadership to identify where AI can create meaningful commercial and operational value, and help shape a practical strategy for adoption.The roleWork with senior leadership to assess current AI capabilities and opportunitiesDevelop an AI strategy aligned to commercial and operational prioritiesIdentify high-value AI use cases across ticketing, events, customer experience and internal operationsAdvise on emerging AI technologies and where the business should be investingPrioritise opportunities based on business value, feasibility and potential ROIHelp define an AI roadmap and approach to implementationBring relevant industry insight from ticketing, live events, entertainment or adjacent sectorsExperience neededSenior-level experience in AI strategy, AI transformation, AI leadership or executive advisoryStrong understanding of applying AI commercially within large-scale businessesDeep industry knowledge of ticketing, live events, entertainment or a closely related sectorExperience working directly with C-suite / executive stakeholdersExperience developing AI strategies, roadmaps or transformation programmesStrong understanding of current AI/GenAI developments and their practical business applicationsAble to translate complex AI capabilities into clear commercial opportunities and recommendationsThis is not a hands-on engineering role. We’re looking for someone who can operate credibly at executive level, understands the ticketing/events ecosystem and can provide strategic direction around AI.Applicants must be currently based in Europe.
Sam OliverSam Oliver
Heidelberg, Baden-Württemberg, Germany
Product Manager
AI Product Manager | AI InfrastructureGermany | Hybrid from Heidelberg | €90,000–€100,000 base + performance incentivesYou’ll own the product that decides where and when AI workloads run.This is a chance to take ownership of an AI Scheduling product at a growing AI infrastructure business. You’ll define the multi-year product vision, decide what gets built and work directly with engineers, infrastructure teams and enterprise customers to solve the challenges of running AI at scale.The product sits around some of the hardest practical problems in AI infrastructure: how jobs are queued, how expensive GPU resources are allocated, and how latency, reliability and performance are managed as workloads grow.You’ll have real ownership. Rather than managing a quarterly backlog, you’ll shape the longer-term direction of the product, turn customer problems into clear product decisions and work closely with leadership and engineering to get those decisions into production.You’ll also have direct customer exposure, giving you the opportunity to understand how organisations are actually using AI infrastructure and feed those insights back into the product roadmap.This could suit you if you’re already a Technical Product Manager working on cloud infrastructure, platforms, developer tooling or cluster management and want to take ownership of a product at the centre of the AI infrastructure market.You’ll need:5+ years of Product Management experience, including ownership of infrastructure, platform or developer tooling productsExperience with technologies such as Kubernetes, OpenStack, Slurm, VMware or similarA good understanding of cloud, compute infrastructure and how AI/ML workloads are runExperience creating longer-term product roadmaps and working closely with engineers and technical customersA technical background through education or hands-on experienceExperience in AI/ML infrastructure or MLOps would be particularly relevant.You’ll be based in Germany and able to work from the Heidelberg office on a hybrid basis, with up to 30% travel between Germany and the US.If you’re interested in owning a product that sits at the intersection of AI, infrastructure and resource management, I’d be happy to tell you more.
Nathan WillsNathan Wills