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. 

  • We are SECO and AUG-licensed, enabling us to provide compliant, high-quality cross-border talent solutions across Switzerland & 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

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
Tech Lead
Tech Lead – Data Platform12-month contract | Fully RemoteWe are working with an early-stage technology company building a data-intensive B2B SaaS product for enterprise customers.The platform combines large-scale data pipelines, analytical and modelling capabilities, and a modern web application. The engineering team is small, highly technical and moving quickly as the product scales.We are looking for a hands-on Tech Lead to take ownership of the technical direction, architecture and engineering delivery across the platform.What you'll doOwn the technical architecture across data, backend and product.Lead a small engineering team across delivery, priorities and technical direction.Translate product requirements into practical technical plans.Remain hands-on, writing and reviewing production code.Establish strong engineering practices around testing, releases, observability and security.Work with enterprise customers on technical and security requirements.Help shape the product and technology roadmap.Must-haveSignificant hands-on engineering experience as a Tech Lead, Founding Engineer, Staff Engineer or similar.Proven experience building and taking a data-driven product from prototype into production.Strong experience with data platforms, production pipelines and cloud data warehouses.Strong B2B SaaS architecture experience, including multi-tenancy, security and data protection.Strong TypeScript and React/Next.js experience.Experience working in a fast-moving startup or scale-up environment.Entrepreneurial mindset with the ability to operate independently and comfortably with ambiguity.Strong software engineering practices and experience using AI-assisted development tools.Nice to haveExperience working in an early-stage startup through Series A or similar growth stage.Snowflake or equivalent cloud data warehouse experience.Experience with complex operational or event-based data.Process mining, simulation or Operations Research experience.Experience building analytical or data-intensive B2B products.Experience working with production AI/LLM features.
Sam OliverSam Oliver
Greater London, South East, England
Data Scientist
Senior Data Scientist / ML Engineer – Simulation12-month contract | Fully RemoteWe are working with an innovative technology business developing a digital twin platform for complex organisations.The platform uses real-world operational data and event logs to simulate how organisations operate, allowing businesses to quantify the impact of operational changes before they are made.We are looking for a Senior Data Scientist / ML Engineer to own the simulation and statistical modelling layer of the platform.What you'll doDesign and develop discrete-event and process simulation models in Python.Develop statistical and ML methods to fit and calibrate models against real operational data.Use event logs and timestamp data to infer processes, routing, capacity and durations.Design simulations and experiments to quantify operational changes.Build production-quality, reusable modelling systems.Work closely with data engineering and product teams.Communicate complex modelling outputs clearly to non-technical stakeholders.Must-haveStrong Data Science / ML Engineering experience with production-grade Python.Hands-on experience with process or discrete-event simulation, stochastic modelling or Operations Research.Strong statistical modelling skills, including estimation, calibration and validation.Experience working with real-world operational, event-log or timestamp data.Strong Python scientific stack: NumPy, SciPy and pandas.Good software engineering practices, including Git, testing and reproducible development.Nice to haveExperience in complex operational environments such as:Aviation / airportsLogistics / supply chainTransportationManufacturingHealthcareFinancial or professional servicesConsultingExperience with process mining, queueing theory, Monte Carlo simulation, survival analysis or agent-based simulation would also be valuable.We're particularly interested in candidates who have taken messy operational data, reconstructed how a real-world process works and built a quantitative model that can be used to support business decisions.
Sam OliverSam Oliver
Paris, Ile De France, France
Agentic AI Engineer
Agentic AI EngineerParis, onsite five days per weekWe are supporting an early stage AI company building a knowledge and decision layer for factories.The platform ingests documents, logs, images, and video, then converts this information into an internal ontology and graph that AI agents can use to reason, call tools, and support operational workflowsYou will help design the core intelligence layer, from data ingestion and modelling through to graph architecture, agent orchestration, evaluation, and production reliability.This is not a basic RAG role. You will need to understand how information is structured, how relationships are represented, and how agents navigate complex systems.You should bring strong Python and software engineering skills, experience with data modelling, graph based systems or knowledge graphs, and production experience with applied AI. You should also understand tool calling, agent workflows, prompt design, and evaluation frameworksExperience with Graph RAG, Langfuse, ontologies, multimodal data, manufacturing, robotics, or industrial software would be useful.Founding engineer or technical founder experience is also valued.If your open to this position, feel free to apply to this JD with your updated resume and we'll be in touch to discuss further if there is alignment.
Nathan WillsNathan Wills