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:

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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

Meet Anthony

Anthony Kelly

Co-Founder & MD EU/UK

Meet Hayley

Hayley Killengrey

Co-Founder & MD USA

Meet Jonathan

Jonathan Harrold

Consultant - Germany

Meet Benjamin

Benjamin Reavill

Consultant - US

LATEST JOBS

Attica, Greece

Senior AI Product Manager

Permanent€70000 - €150000 per annum

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 Wills

Posted 4 days ago

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Heidelberg, Baden-Württemberg, Germany

Senior Research Engineer

Permanent€80000 - €100000 per annum

Senior Research Engineer – Generative AIGermany - Remote first €80,000 – €100,000 2 year contract This role sits inside a research-driven engineering team building real Generative AI systems that are meant to leave the lab and prove their value in the world.It is about building working GenAI agents, putting them in front of partners, stress testing them, improving them and demonstrating that they solve meaningful problems. The domains range from public safety and social services to finance. The common thread is impact. In the first six months, you would join an applied project where the goal is to prototype a GenAI agent and convince an external partner that it creates tangible value. You would work closely with a senior researcher, iterating quickly, shipping regular merge requests, refining features, spotting technical risks early and improving the system week by week. There is a strong emphasis on being able to explain what you built, both to technical peers and to non-technical stakeholders. The environment is intentionally exploratory. New models, new agent frameworks, new tooling. If something promising appears, you are encouraged to test it. The team meets in person every Tuesday in Heidelberg, but beyond that there is flexibility. English is the working language.You might be refining prompts and evaluation loops for LLM-based systems, experimenting with coding agents, shaping system architectures, or mapping out a lightweight roadmap for how a prototype could evolve into something commercial. You will be close to decision making, not buried in a narrow implementation silo.Who we're looking for:Working with LLMs or GenAI in practice since at least 2023, comfortable building in Python with proper version control.A Master’s or PhD in Computer Science, AI or a related field fits well.Industry experience matters more than labels.Experience with coding agents such as Cursor or Codex is particularly interesting, as is familiarity with modern GenAI libraries and lightweight MLOps tooling.Just as important is adaptability. The technology moves fast and so does the direction of applied projects. The interview process is technical but practical. There is an initial technical conversation focused on engineering and GenAI fundamentals, followed by a motivational discussion, and then an in-person day that includes collaborative coding using AI coding agents. The coding session focuses more on how you think and structure a solution than on perfect syntax. This is suited to someone who enjoys building at the edge of what is currently possible with Generative AI, but who also cares whether the result genuinely improves something for real users.If this sounds interesting, please apply here and a member of the team will be in touch.

Jacob Graham

Posted 6 days ago

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Greng, Switzerland

AI Project manager

Contract€350 - €425 per day

We’re hiring an AI Project Manager to take ownership of a central AI delivery function and ensure high-impact AI initiatives move from idea to production at pace. This role is focused on execution, coordination, and decision-making across a broad set of stakeholders, rather than hands-on technical delivery. The role: You’ll be accountable for running a multi-stream AI Project, balancing delivery momentum with governance, risk control, and transparency. Acting as the connective tissue between business leaders and technical teams, you’ll help shape how AI work is assessed, prioritised, and delivered across the organisation. What you’ll doLead the planning and execution of a portfolio of AI initiatives, with full accountability for timelines, funding, risks, and outcomesBring together teams across product, data, AI/ML, engineering, and security to deliver against shared objectivesPut in place clear intake and decision frameworks to evaluate AI opportunities and focus effort where it delivers the most valueActively manage delivery constraints, interdependencies, and trade-offs across multiple workstreamsContinuously evolve delivery processes to improve throughput, predictability, and stakeholder confidenceWhat you bringExtensive experience leading large-scale programs in complex, matrixed organisationsA strong track record of managing ambiguity, competing priorities, and senior expectationsWorking knowledge of how AI and data products are developed, validated, and deployed into live environmentsExperience designing operating models, governance forums, and prioritisation mechanismsClear, confident communication style with the ability to influence at executive levelA practical, results-oriented mindset with a bias toward action over theoryAI program delivery experience is an absolute must have

Sam Oliver

Posted 19 days ago

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Remote work, England

VP of Agentic Systems

Permanent£180000 - £220000 per annum

VP of Agentic SystemsRemote Across Europe We are building a next-generation AI platform powering agent-driven systems and advanced digital creation tools. We are seeking a VP of Agentic Engineering to lead the architecture, scaling, and operational excellence of our core AI platform. This is not a research role. It is a production-scale engineering leadership position focused on building secure, scalable, enterprise-grade systems. What You’ll OwnDefine and lead the Architectural Platform that underpins all AI capabilitiesBuild and scale a wider enterprise platform that ingests, stores, processes, and exposes large-scale data into downstream creation toolsDesign multi-tenant, cloud-native core services and APIsProductionize GenAI systems (LLMs, agent-based systems) into reliable platform servicesLead AI orchestration, model serving, and high-throughput data infrastructureEnsure enterprise-grade reliability, security, performance, and observabilityScale and lead high-performing platform and AI engineering teamsMust HaveProven experience building and scaling enterprise web platformsHands-on experience productionizing Generative AI systems, including LLMs and AI agentsDeep expertise in distributed systems and cloud infrastructure (AWS, GCP, or Azure)Experience designing enterprise-scale data ingestion and storage platformsExperience leading teams of 20 engineers

Anthony Kelly

Posted 20 days ago

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Zürich, Switzerland

Multimodal AI Systems: Principal Technical Leader/ Chief Scientist

PermanentCHF220000 - CHF350000 per annum

Multimodal AI Systems: Chief Scientist/ Principal Technical Leader We are seeking a senior leader to define and deliver the architecture and research direction for large-scale multimodal AI systems. This role combines scientific leadership with hands-on system ownership, spanning model innovation, training, inference, and production deployment. You will lead the design of multimodal architectures across LLMs, VLMs, video models, and multimodal agents, while driving cutting-edge research in multimodal understanding and generation. The role owns the full lifecycle from novel algorithms and publications to scalable, optimized systems (autotuning, quantization, inference efficiency). RequirementsDeep expertise in multimodal learning with hands-on experience training large-scale vision-language, video, or multimodal models.Strong understanding of transformers, diffusion models, and large multimodal model inference.Proven research impact (top-tier conferences preferred) and/or significant open-source contributions.Ability to translate frontier research into production-grade AI systems.

Anthony Kelly

Posted 27 days ago

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San Francisco, California, United States

LLM Algorithm Tech Lead

Permanent$200000 - $300000 per annum

LLM Algorithm Lead$200,000 - $300,000San Francisco, HybridFull-time / PermanentA product-focused AI start-up is building LLM systems that run in production and are used daily by over a million professionals. This role is responsible for designing, shipping, and maintaining applied LLM systems that support real product features, with an emphasis on reliability, cost, and scale rather than experimentation. Why This Role MattersOwn how LLM systems behave in a large, user-facing productMake architectural decisions that affect reliability, latency, and costMove LLM features from prototype to stable production systemsSet technical direction for applied LLM algorithms and evaluation practicesWhat You’ll DoDesign structured LLM workflows, including planning, reasoning, and multi-step executionBuild and maintain core components such as memory, personalization, and reusable LLM modulesLead development of LLM-powered product features from design through productionBuild and optimize retrieval pipelines (RAG) via chunking, indexing, reranking, and evaluationSelect and route between models based on performance, cost, and latency constraintsDefine evaluation metrics, monitoring, and feedback loopsDebug production issues and drive algorithm-level improvementsWhat You BringExperience shipping LLM-based systems into productionStrong understanding of prompting, reasoning workflows, and system designHands-on experience with RAG systemsExperience building evaluation, monitoring, or safety mechanismsAbility to lead technical decisions and guide other engineersExperience with inference optimization, efficiency, or large-scale systems is a plus

Benjamin Reavill

Posted 28 days ago

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San Francisco, California, United States

Applied AI Engineer

Permanent$200000 - $300000 per annum

AI Applied Engineer$200,000 - $300,000San Francisco, HybridPermanent / Full-timeA product-led AI start-up is building one of the most widely adopted AI work companions in the world, operating at massive real-user scale with millions of professionals relying on it daily. The challenge problem now is designing AI systems that reliably support complex knowledge work across preparation, collaboration, and follow-through, inside products people trust. This role is ideal for someone who wants to work across AI engineering, product thinking, and ultimately shape how AI actually shows up in day-to-day professional workflows. Why This Role MattersOwn how AI supports high-stakes knowledge workDesign multi-step AI workflows that users rely on repeatedlyHelp define how agent-like systems behave inside a consumer-grade productWork beyond prompt design into evaluation, iteration, and reliabilityWhat You’ll DoOwn the end-to-end design of AI-first workflows for preparation, collaboration, and follow-up Design and iterate multi-step LLM / agentic systems, spanning intent understanding, planning, tool invocation, memory usage, and refinement loopsBuild reusable AI skills, prompts, templates, and evaluation pipelines that can power multiple product experiencesDefine success metrics for AI behaviour, run experiments, and use real interaction data to improve usefulness and reliabilityPartner closely with engineering and ML teams to ship quickly while maintaining a high bar for product quality and user experienceWhat You BringProven experience shipping AI/ML powered products end to endStrong working understanding of LLM systems: prompting, tool calling, retrieval, context construction, evaluation, and common failure modesAbility to translate user needs into clear flows, specs, and examples, including edge cases and expected behavioursComfort working directly with data and interaction logs to debug issues and compare variantsHands-on experience designing agent-like workflows involving multi-step plans, multiple tools, and refinement or self-correction

Benjamin Reavill

Posted 28 days ago

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San Francisco, California, United States

Senior Agentic AI Engineer

Permanent$250000 - $350000 per annum

Senior Agentic AI Engineer$250,000 - $350,000San Francisco, Hybrid 3x per weekPermanent / Full-timeOver 1.5 million professionals already rely on this product in their daily work. The company is profitable, scaling fast, and redefining how humans interact with AI through a tightly integrated hardware & software platform. The next phase is all about building real-time AI agents that can listen, reason, coordinate tools, and take action. Reliability and scalability in production. I’m hiring a Senior Agent Engineer in San Francisco to help design and ship the multi-agent systems behind that vision. What You’ll DoDesign and build multi-agent workflows that reason, plan, and use tools in real timeDevelop core runtime systems like memory, context management, orchestration, and tool routingWork closely with product and hardware teams to ship AI-driven features into live devices and applicationsMigrate previous systems into a more scalable, agent-based architectureImprove internal SDKs, developer tooling, and deployment pipelines to accelerate shippingWhat “Great” Looks LikeYou’ve built and operated distributed backend systems that actually run in productionYou’ve worked with LLM frameworks and understand how agents break in the real worldYou can design clean architectures without overcomplicating themYou care about latency, reliability, and cost as well as qualityYou take ownership. You don’t wait to be told what to fix.This role is not a fit if your experience is primarily academic, experimental, or limited to prompt tweaking without owning production systems. Why JoinProfitable company with ~$250M revenue run rate achieved in just three yearsReal scale: millions of users, global distribution, live hardware AI systemsSmall, high-talent engineering team with meaningful ownershipWork that directly shapes the future of human–AI interactionClear path toward senior technical leadership as the agent platform becomes core infrastructure

Benjamin Reavill

Posted 28 days ago

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