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.

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

Consultant - Germany

Benjamin Reavill

Consultant - US

Luke Weekes

Senior Consultant

David Rodwell

Senior Recruitment Consultant

San Francisco, California, United States
MLE (Live Agent & Post-Processing)
Machine Learning Engineer - Live Agent & Speech Post-Processing$200,000 - $300,000San Francisco, hybrid (3x per week) Full time / PermanentThis company builds AI tools and devices that help professionals capture and use what's said in real conversations across meetings, calls, voice notes. It's profitable, bootstrapped, and scaling fast: $250M revenue run rate in under three years, used by over 1.5 million people globally.The product works. Now they need someone to make the live speech experience feel polished and seamless, fixing the small things that frustrate users at scale.What you'll doBuild and maintain test suites and automated evaluation platforms for multilingual, multi-model live systems. Covering hallucinations, casing, punctuation, number formatting, and segmentationSet up benchmarks for live agent systems: VAD false triggers, interruption latency, and turn-taking transitionsFix the friction points that hurt user experience: poor segmentation, inconsistent casing, hallucinated words Optimize VAD, barge-in models, and turn-taking logic to reduce end-to-end latency and false interruption ratesWhat "great" looks like1–3 years of hands-on experience in speech algorithm training, with a focus on pre- or post-processing, or full-duplex voice system optimizationYou've worked on ASR pre-processing or post-processing in a real productYou understand how live voice systems break and know how to fix themYou have published research at Interspeech or ICASSP, or possess speech-related patentsWhy joinProfitable company at ~$250M run rate - you'll see the impact of your work immediately in a product used daily by professionals worldwideDirect ownership of the live speech quality stack, not a supporting role in a large orgHybrid San Francisco team with real access to large, diverse, multilingual audio datasetsShort feedback loops - improvements ship fast and metrics are visibleClear path toward senior technical leadership as the audio team grows
Benjamin ReavillBenjamin Reavill
San Francisco, California, United States
Machine Learning Engineer - On-Device Speech Recognition
Machine Learning Engineer - On-Device Speech Recognition$200,000 - $300,000San Francisco, hybrid (3x per week)Full time / PermanentThis company builds AI-powered tools that help professionals capture and use what's said in the real world of work - meetings, conversations, voice notes. It's profitable, bootstrapped, and growing fast: $250M revenue run rate in under three years, with over 1.5 million users globally.The product is working. The next step is making the speech engine significantly better by making it smaller, faster, and more accurate across every device and language it runs on.What you'll doDesign and train lightweight on-device ASR models (e.g. Streaming Transducer, CTC) that run efficiently on mobile and embedded hardwareCompress and optimize models using quantization, pruning, and knowledge distillationClean, align, and augment multilingual speech data; handle low-resource languages and noisy real-world conditionsWork closely with engineering teams to convert and deploy models into productionWhat "great" looks likeYou've trained or fine-tuned ASR models at production scale, not just in research settingsYou know at least one major ASR framework deeply (Wenet, Espnet, Icefall/K2, or Zipformer) and understand how they actually work at a structural levelYou've deployed on-device or offline ASR models and solved the messy problems that come with real hardware constraintsYou've done hands-on post-training quantization and know how to recover accuracy when it degradesMaster's or PhD in Computer Science, Signal Processing, or similar, and 3–5 years in speech algorithmsBonus: published research at ICASSP or Interspeech, experience with Zipformer / Paraformer / SenseVoice, or knowledge distillation from large speech models to compact ones.Why joinProfitable, fast-moving company. Your work ships and gets used by over a million peopleReal ownership of the on-device speech stack, not one task on a large team's backlogHybrid San Francisco team building both hardware and AI systems in parallelMeaningful datasets and global product scale to test and prove your workClear growth toward senior technical leadership as the audio function expands
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 contract to the end of the year, (with strong potential to extend further)Fully remote€400–€425 per day
Sam OliverSam Oliver
New York, United States
Senior TPM - Applied AI
Senior Technical Program Manager – Applied AI$180,000 – $200,000 Fully Remote (US East Coast preferred) Full-Time / PermanentA fast-growing AI language technology company is looking for a Senior Technical Program Manager to join their Applied AI team. They work with some of the world's largest organisations (including major government agencies and global enterprises) helping them translate and localise content at scale using cutting-edge AI. This is a hands-on programme management role. You will be overseeing the delivery of large datasets and custom engineering projects that are used directly to train and improve frontier AI models.Why JoinSmall, cross-functional teams where senior hires have real ownership over programmes end-to-endBacked by top-tier investors, this is a well-funded company with strong commercial tractionCompetitive base, equity, and benefitsWork that sits at the frontier of AI development, your programmes directly influence the next generation of large language modelsThe RoleYou will lead the delivery of complex technical programmes for major AI research partners. In practice, this means managing the pipelines that produce large volumes of high-quality training data - across text, audio, video, and image - and making sure that data reaches research teams accurately and on time.You will also oversee bespoke engineering workstreams, things like: retrieval-augmented generation (RAG) improvements, model evaluation projects, and synthetic data generation. You are the main point of contact for the AI researchers and engineers you work with, and you will translate their research needs into clear delivery plans.This is not a scrum master role. You need to understand what engineers are building and why, well enough to spot problems, ask the right questions, and earn the trust of technical teams on both sides.What We're Looking ForExperience managing large-scale data delivery programmes, ideally for AI or machine learning teamsA technical background. You don't need to write production code daily, but you should be comfortable reading it, reviewing it, and discussing it with engineersHands-on knowledge of modern AI concepts: training data pipelines, model evaluation, retrieval systems (RAG), and human feedback loops (RLHF)Experience working with multiple data types - not just text, but also audio, video, or image datasetsStrong stakeholder management skills at a senior levelAbility to operate in a fast-moving environment where priorities can shift with the latest research developmentsUseful but not essential:Proficiency in PythonFamiliarity with vector databases or agentic AI workflowsExperience working directly with AI research labs or frontier model teamsMultilingual backgroundWhat Success Looks LikeProgrammes delivered on time with clean, well-validated dataResearch partners feel well-supported and clearly communicated withEngineering workstreams run efficiently with minimal bottlenecksYou spot quality issues before they reach the modelTech / Domain ContextData pipelines · Multimodal datasets · RAG architectures · RLHF/RLAIF · Vector databases · Cloud infrastructure · RESTful APIs · Model evaluation
Benjamin ReavillBenjamin Reavill
Kraków, Malopolskie, Poland
AI Data Engineer
AI Data Engineer (Contract, Remote – Europe) We’re looking for a contract AI Data Engineer to help build and scale data infrastructure that supports advanced analytics and AI use cases. This role focuses on creating robust data pipelines and enabling intelligent data processing in a cloud-first environment. What you’ll be doingBuild and maintain end-to-end data workflows to handle ingestion, processing, and transformation of diverse datasetsLeverage machine learning and generative AI approaches to enhance data preparation, including tasks such as extraction, tagging, and feature creationConnect data platforms with cloud storage and processing services, ensuring seamless integration with downstream AI and modelling workflowsImprove pipeline efficiency, scalability, and resilience through performance tuning and proactive monitoringWork closely with engineers, data specialists, and AI practitioners to deliver reliable data solutionsWhat we’re looking forStrong background in data engineering, with solid Python development skillsExperience working with large-scale or complex data environmentsExposure to AI/ML concepts and practical use of generative AI in data-related workflowsHands-on experience with Azure-based data platforms and servicesGood understanding of data governance, pipeline optimisation, and system reliabilityAbility to operate effectively in distributed, cross-functional teamsAdditional detailsFully remote (Europe-based candidates only)Applicants must have the right to work in their country of residence — no sponsorship availableQuick start preferred
Sam OliverSam Oliver
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