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:

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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.

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

 

GENAI AND AGENTIC SYSTEMS CONSULTANTS

Anthony Kelly

Co-Founder & MD EU/UK

Hayley Killengrey

Co-Founder & MD USA

Jonathan Harrold

Consultant - Germany

Benjamin Reavill

Consultant - US

David Rodwell

Senior Recruitment Consultant

LATEST JOBS

Berlin Kreuzberg, Berlin, Germany
AI Project Manager
AI Project Manager (Contract)We’re partnering with a leading Consulting organisation to hire an AI Project Manager to drive high-impact AI initiatives within a Microsoft/Azure environment. This is a fantastic opportunity to work at the forefront of AI delivery, collaborating with senior stakeholders and cutting-edge technical teams. The RoleOwn and deliver AI and data projects end-to-end within an Azure ecosystemAct as the key interface between business stakeholders and technical teamsDrive project planning, execution, and governance across multiple workstreamsEnsure clear communication, alignment, and successful delivery in a client-facing environmentWhat We’re Looking For5–8 years’ experience in project management within tech, data, or AI environmentsProven track record delivering AI / ML or advanced analytics projectsStrong experience with Microsoft technologies, particularly AzureConsulting or client-facing delivery experience is highly desirableExcellent stakeholder management and communication skillsFluent English is essentialAdditional InfoFully remote within Europe (Europe based in a must have)Fast-paced, high-visibility project environmentImmediate start preferred
Sam OliverSam Oliver
Remote work, United States
Senior Data Engineer
Senior Data Engineer - HealthTech$150,000 - $200,000  Fully RemoteFull time / Permanent A fast-growing healthcare technology start up is looking for a Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S, helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered and the data teams sit at the centre of that. This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day. Why JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to director. The company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The Role You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and making sure the right data reaches the right systems reliably and on time. You will also contribute to shared tools and frameworks that make future integrations faster, work that scales well beyond your individual projects. What We're Looking For4 years of experience building production data pipelinesStrong SQL skills across large, complex datasetsProficiency in Python for data transformationExperience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essential:Background in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech Stack Azure Data Factory - Databricks - Python - SQL - PySpark - CI/CD tooling - Healthcare data standards What Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy - This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.
Benjamin ReavillBenjamin Reavill
Houston, Texas, United States
Senior Data Engineer
Senior Data Engineer - HealthTech$150,000 - $200,000  Hybrid - Houston, TX Full time / Permanent A fast-growing healthcare technology start up is looking for a Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S, helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered — and the data teams sit at the centre of that. This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day. Why JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to director. The company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The Role You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and making sure the right data reaches the right systems reliably and on time. You will also contribute to shared tools and frameworks that make future integrations faster, work that scales well beyond your individual projects. What We're Looking For4 years of experience building production data pipelinesStrong SQL skills across large, complex datasetsProficiency in Python for data transformationExperience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essential:Background in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech Stack Azure Data Factory - Databricks - Python - SQL - PySpark - CI/CD tooling - Healthcare data standards What Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy - This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.
Benjamin ReavillBenjamin Reavill
Hertfordshire, South East, England
Lead AI Engineer
Lead AI Engineer Location: United Kingdom, Remote or Hybrid Salary: Competitive, dependent on experience About the Company An established global technology platform specialising in digital publishing and print infrastructure is launching a new AI venture focused on transforming how printed content is created. The company is building an AI powered design editor that allows users to generate fully customised, print ready designs directly from natural language prompts. Instead of relying on templates, the platform generates original layouts, graphics, and structured outputs automatically. This is a newly formed AI venture backed by an existing global platform, offering the opportunity to build a product from the ground up while benefiting from the support and infrastructure of an established organisation. The Role The company is now hiring a Lead AI Engineer to design and build the backend systems that power the AI workflows behind the product. This role sits at the intersection of backend engineering and applied AI. You will be responsible for architecting scalable AI systems that translate user prompts into structured, production ready design outputs. You will work closely with product and engineering teams to develop the core AI infrastructure, ensuring the system is reliable, scalable, and capable of supporting high traffic production workloads. Key Responsibilities Design and build backend systems supporting AI driven design generation Develop and maintain LLM pipelines and agent based AI workflows Architect scalable APIs and services using Python frameworks Build infrastructure that supports high volume AI inference and real time workloads Collaborate with product teams to translate user prompts into structured outputs and workflows Ensure reliability, observability, and performance across AI systems Contribute to the technical direction of a new AI product from its earliest stages Required Experience Strong experience building production backend systems using Python Experience working with FastAPI, Pydantic, or similar modern Python frameworks Hands on experience building or deploying LLM based systems Experience with agent architectures, RAG systems, or LLM pipelines Strong understanding of scalable system design and distributed infrastructure Experience deploying machine learning or AI systems into production environments Desirable Experience Experience with generative AI systems or content generation workflows Experience with containerisation and cloud infrastructure Previous experience in startup or early stage product environments Why Join Opportunity to help build a new AI product from the ground up Backed by an established global technology platform Work on cutting edge generative AI systems applied to real world creative workflows Small, highly technical team with significant ownership and impact
Nathan WillsNathan Wills
California, United States
Senior Agentic AI Engineer
Senior Agentic AI Engineer$300,000 - $400,000Onsite, Palo Alto (Remote for exceptional talent)Full time / PermanentA well-known, frontier GenAI company is undergoing a major product pivot, moving from single-modal generative experiences toward a consumer multi-agent ecosystem designed to feel genuinely autonomous, useful, and alive.They’re building the core infrastructure that will define how millions of users interact with AI agents daily. From planning and execution to memory, creativity, and proactive behaviour. This role sits at the heart of this shift: designing and shipping the systems that make intelligent agents function for 1M users.What You’ll DoDesign and evolve the agent runtime, the core loop handling reasoning, tool use, planning, memory retrieval, and response generationBuild agent capabilities across modalities (e.g. image/video generation, voice interaction, browsing, code execution) and ship themOwn LLM orchestration and model routing across multiple providers, optimising latency, cost, reliability, and qualityImplement memory systems that allow agents to learn from interactions (long-term memory, episodic recall, semantic retrieval)Prototype and productionize autonomous behaviours such as proactive task execution, scheduling, and goal-directed workflowsCreate evaluation frameworks and metrics that measure agent quality, personality consistency, and real user impactWhat “Great” Looks LikeYou’ve personally built and shipped agentic systems, not just prompt wrappers or demosYou’re comfortable owning ambiguous, greenfield problems and turning ideas into working product fastYou think in systems: distributed workflows, multi-step reasoning, orchestration, reliabilityYou code daily and care deeply about performance, UX feel, and real-world usefulness(If you’re looking for a narrowly scoped role, heavy process, or pure research track, then this won’t be the right fit.)Why JoinJoin at a genuine product inflection point, early access launch, new architecture direction, and strong internal momentumWork in a small, elite engineering cohort where each senior hire has outsized ownership and influenceHelp define the company’s next-generation agent platform and model infrastructure from the ground upCollaborate closely with product leadership and shape how consumer AI agents evolve in the real worldClear trajectory toward technical leadership and founding-level impact as the organisation scalesIf you’ve built real agent systems and want to work on problems that don’t have playbooks yet, please apply with your resume!
Benjamin ReavillBenjamin Reavill
Remote Work, Poland
AI Solution Architect
AI Solution Architect – GenAI & Azure AI (Contract, Remote)We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.The role:You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial 9 month contract, (with strong potential to extend further)Fully remote€400–€425 per day
Sam OliverSam Oliver
Attica, Greece
Senior AI Product Manager
AI Product Manager - GenAII’m currently working with an AI native company that recently raised €3M and is building a series of vertical AI agents designed to automate real operational workflows across multiple industries.They already have a strong engineering team and are now looking for a Product Manager who can sit very close to engineering and help drive the pace of building and shipping AI products.This is not a traditional roadmap focused PM role. The person coming in will be heavily involved in hands on product development around AI agents, working with engineers on prompting, prototyping, defining agent behaviour, and helping run evaluation workflows to improve model performance.They are looking for someone comfortable operating in an early stage AI environment, where product ideas move quickly from concept to prototype to shipped product. The PM will also spend time speaking with customers to understand workflows and help design how these AI agents can solve real operational problems.The company operates more like an AI lab, identifying opportunities for automation, building AI agents around them, and then taking the successful products to market.If you are currently building AI driven products or exploring agent based systems, it could be a genuinely interesting conversation.
Nathan WillsNathan Wills