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

Boston, Massachusetts, United States

Senior AI Solutions Engineer

Permanent$170000 - $180000 per annum

Senior AI Solutions Engineer – SalesInsurtech | Generative AI | Enterprise InsuranceAbout Our ClientOur client is a Series B–backed AI company transforming the property and casualty insurance industry through applied generative AI and intelligent automation. They work directly with large insurers to modernise core workflows, reduce operational cost, and improve customer experience using production-grade AI agents deployed across claims, policy, and service operations.They are scaling rapidly and are now hiring a senior, customer-facing AI Solutions Engineer to sit at the intersection of sales, product, and deployment.The RoleThis is a high-impact, technical commercial role. You will act as the technical authority throughout the customer lifecycle, from pre-sales through implementation and expansion.You will work closely with sales, customer success, and engineering teams to translate insurer requirements into robust, secure, and scalable AI solutions that deliver measurable business outcomes.This role suits someone comfortable owning conversations with CIO, CTO, and enterprise IT stakeholders while remaining hands-on with architecture, integrations, and demos.What You’ll DoPre-Sales & Technical DiscoveryPartner with sales teams to scope insurer requirements and design AI-driven solutionsPresent system architecture, security posture, and integration approaches to senior technical stakeholdersBuild tailored demos, proofs of concept, and solution prototypes aligned to insurer environmentsSolution Design & ImplementationAssess insurer core platforms including policy administration, claims, and billing systemsDesign and lead integrations across APIs, SSO, and workflow orchestrationSupport and guide deployments to ensure smooth onboarding and production readinessCustomer Advisory & ExpansionAct as a trusted technical advisor for insurer clients adopting AI at scaleIdentify opportunities for expansion across advanced AI agents, workflows, and APIsFeed customer insights back into product and engineering teams to influence roadmap prioritiesThought LeadershipRepresent the business in client workshops, technical sessions, and industry eventsProduce technical documentation, integration guides, and solution playbooks for enterprise customersWhat We’re Looking ForMust Have7–10 years in solutions engineering, pre-sales architecture, or enterprise technical consultingDeep experience within insurance technology ecosystems such as Guidewire, Duck Creek, Majesco, One Inc., Insuresoft, or SapiensStrong hands-on experience with APIs, cloud platforms (AWS, Azure, GCP), and enterprise integrationsProven ability to lead complex, multi-stakeholder enterprise implementationsExcellent communication skills with the ability to explain complex technical concepts to non-technical executivesComfortable operating in a fast-moving, high-ownership startup environmentNice to HaveExposure to AI, ML, automation platforms, or NLP-driven systemsBackground working in high-growth startups or insurtech vendorsFamiliarity with insurance compliance, data security, and regulatory frameworks

Sam Warwick

Posted 1 day ago

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Greng, Switzerland

AI Solution Architect

Contract€400 - €425 per day

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 3-month contract, guaranteed extension to 6 months (with strong potential to extend further)Fully remote€400–€425 per day

Sam Oliver

Posted 2 days ago

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Greng, Switzerland

AI program manager

Contract€400 - €450 per day

We’re hiring an AI Program 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 program, 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 a must have

Sam Oliver

Posted 7 days ago

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Greng, Switzerland

AI Data Engineer

Contract€400 - €450 per day

We’re looking for a Data Engineer to help build and scale the data foundations that power modern AI and generative AI solutions. This role is focused on designing resilient data pipelines that support advanced analytics, ML, and LLM-driven use cases across a range of data types. The role: You’ll work closely with AI, ML, and platform teams to shape how data is collected, processed, and made available for downstream intelligence. The focus is on robust engineering, clean data, and systems that can scale as AI use cases move into production. What you’ll be doing:Building and maintaining Python-based data pipelines that handle ingestion, transformation, and enrichment of both structured and unstructured dataApplying AI-assisted techniques to data preparation, including classification, extraction, and feature creation to support ML and LLM workflowsConnecting data pipelines into Azure-based platforms, including data lakes and cloud-native servicesEnsuring pipelines are reliable and performant through testing, monitoring, and continuous optimisationPartnering with data scientists, AI engineers, and platform teams to support end-to-end AI deliveryWhat we’re looking for:Solid hands-on experience as a data engineer, with Python as a core languageProven experience delivering data pipelines in production environments at scaleExposure to AI, ML, or generative AI use cases within data platformsPractical experience working with Azure Data Lake and related Azure data servicesA strong engineering mindset with attention to data quality, system reliability, and performanceComfortable operating in collaborative, cross-functional teams

Sam Oliver

Posted 7 days ago

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Boston, Massachusetts, United States

ML Scientist in AI Explainability

Permanent$150000 - $300000 per annum

ML Scientist in AI Explainability Location: Boston Massachusetts Type: Full time Machine Learning Scientist, AI Explainability and Scientific Discovery We are working with a publicly listed deep tech company operating at the intersection of machine learning, material science, and next generation battery technology. The team is applying AI directly to scientific discovery, with real world impact across energy storage, transportation, robotics, and aerospace. This role sits within an advanced AI research group focused on Large Language Models, AI agents, and explainability in scientific problem solving. Your work will directly influence how new battery materials are discovered and validated using AI. The position can be fully remote. What you will work on You will lead research into machine learning methods for scientific discovery, with a strong focus on multimodal Large Language Models and agent based systems.You will study how LLMs reason, plan, and generate solutions when applied to core scientific and engineering questions, particularly in battery and material design.You will design and optimize training pipelines for large models, tackling challenges around data quality, architecture, scalability, and compute efficiency.You will integrate domain specific data sources such as scientific literature and internal research documents into model training and inference.Your research will be deployed into a production multi agent AI system used for real battery technology discovery.You will collaborate closely with researchers, engineers, and external academic labs, and contribute to publications and conference presentations. What we are looking for An MSc or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science, or a related field, or equivalent industry experience.Strong grounding in machine learning, deep learning, and Large Language Models, with hands on research experience.Solid Python skills and experience with frameworks such as PyTorch or TensorFlow.Experience working with causal graphs and explainability focused AI methods.A proven research track record, ideally including peer reviewed publications.The ability to explain complex technical ideas clearly to both technical and non technical stakeholders.Nice to have Exposure to AI applied to material science, chemistry, or battery systems.Familiarity with recent research methods in LLM optimization and reinforcement learning approaches such as GRPO. What is on offerA highly competitive salary and benefits package, including equity in a publicly listed company.The chance to work on AI for science problems with visible global impact.A collaborative research environment alongside experienced ML scientists, engineers, and domain experts.Strong support for professional development, publishing, and long term career growth.

Nathan Wills

Posted 7 days ago

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London, Greater London, South East, England

Agentic AI Engineer

Permanent£150000 per annum

Applied AI Engineer I am working with a fast growing AI company building an enterprise grade AI workspace used by major financial institutions to produce and validate client ready work. The platform replaces complex manual workflows with automated AI systems that scale across global teams and has grown rapidly with backing from top tier investors. This role is for engineers who want to build and ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale. What you will doBuild and deploy backend services and APIs, Python preferred using Django or FastAPIProductionise AI features including RAG, agent orchestration, and evalsCreate data pipelines for training, evaluation, and continuous improvementEnsure performance, reliability, and security across the stackWork closely with founders, engineers, and product teamsWhat we are looking forFive plus years of software engineering experienceProven experience deploying AI applications into productionStrong backend engineering skills and database fundamentalsExperience with cloud infrastructure, Docker, Kubernetes, and CI CDBackground workers, task queues, and Redis experienceFamiliarity with LLM evaluation, monitoring, and safetyDegree from a Russell Group university or equivalent top tier academic background, or alternatively extensive engineering expertise with clear, relevant production experienceThis is a demanding, in office environment with high ownership, shifting priorities, and strong technical standards. You will work directly with founders who have built and exited venture backed companies. If you are an Applied or Agentic AI Engineer looking for real ownership and the chance to build core systems from the ground up, this is worth a conversation.

Nathan Wills

Posted 14 days ago

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Zürich, Switzerland

GenAI Engineer

PermanentCHF120000 - CHF160000 per annum

We are looking for a GenAI Engineer to join a growing Consulting organisation focused on AI solutions for the varied industries. You will play a key role in developing and integrating enterprise-level AI systems, contributing to the next generation of intelligent tools used by their clients. What You’ll DoDesign, build, and deploy GenAI applications using OpenAI APIs and LLM frameworksDevelop and optimise RAG pipelines for production useCollaborate with cross-functional teams to integrate AI into existing SaaS productsWrite clean, efficient, and scalable code, primarily in PythonContribute to architecture and design discussions around AI deployment and automationEngage with clients and internal teams to ensure alignment on project goalsWhat We’re Looking ForProven background in software development within SaaS or enterprise environmentsStrong practical experience using OpenAI APIs in commercial or large-scale settingsSolid understanding of LLMs, prompt engineering, and model deploymentHands-on experience with RAG pipelines and data retrieval optimisationExcellent communication and stakeholder management skillsAble to work independently and within collaborative teamsNice to HaveFrench for collaboration with teams in LausanneGerman for client interactions in ZurichWhy JoinFully remote flexibility with the option to work near Zurich or LausanneStable, long-term AI projects within the financial sectorClear growth trajectory with opportunities to contribute to upcoming initiativesSupportive, collaborative environment with positive team sentiment

Nathan Wills

Posted 15 days ago

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Remote work, England

Lead AI Developer

Permanent£70000 - £80000 per annum

I am working on a Lead AI Developer role for a UK based team delivering AI solutions into complex, non technical environments. This is a hands on role for someone who codes daily but also leads from the front. You would sit between senior stakeholders and delivery teams, shaping requirements, explaining trade offs, and guiding technical direction without relying on formal authority. What the role actually needs. You are still a builder. Strong in C#, .NET, and Python, comfortable shipping production systems, deploying to cloud, and working with modern AI patterns like LLMs, RAG, and agent based workflows. At the same time, you are confident in front of clients. You can run a requirements session, challenge vague asks, surface constraints early, and translate technical decisions into language that non engineers trust. You have led delivery through influence. Mentoring developers, setting standards, steering architecture discussions, and handling competing priorities when stakeholders want different outcomes. What you would be doingWorking directly with clients to turn real world problems into clear technical designs and delivery plansLeading backlog refinement, sprint planning, and technical prioritisationBuilding and deploying AI enabled features across a Microsoft and Azure focused stackExplaining feasibility, risk, and trade offs in a way that helps stakeholders make decisionsRaising the bar for engineering quality through reviews, coaching, and exampleWhat tends to work well herePeople who have been the technical lead in client facing environmentsDevelopers who enjoy ambiguity and creating clarity rather than waiting for perfect specsEngineers who can say no when needed, and explain why in a constructive wayIf you are interested in this position, feel free to send your updated CV and we'll be in touch if this is a match.

Nathan Wills

Posted 16 days ago

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