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.

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

Luke Weekes

Senior Consultant

David Rodwell

Senior Recruitment Consultant

Palo Alto, California, United States
Senior Agentic AI Engineer
Senior Agentic AI Engineer$300,000 - $400,000Remote / Hybrid, Palo Alto Full time / PermanentA well-known, frontier GenAI company (Series B, $130M raised) is undergoing a major product pivot. They're moving from single-modal generative experiences toward a consumer-facing, multimodal, 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 and ship agent capabilities across modalities (e.g. image/video, voice, browsing, code execution)Own 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 usefulnessWhy 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
Berlin, Germany
Fullstack Engineer - AI
Contract Full Stack Engineer – Next.js & AI Systems (Remote EU) We’re supporting a fast-growing AI product team who are looking for a Contract Full Stack Engineer to help them take an early-stage platform from prototype through to a scalable, production-ready MVP. The product is already up and running with a working UI, design system and initial architecture in place. The next phase is all about scaling the system properly, particularly across backend architecture, AI agent workflows, and evaluation/feedback loops. What you’ll be working onBuilding and extending features in a Next.js-based applicationHelping define and evolve backend and system architectureDesigning and improving AI agent workflows and orchestrationBuilding evaluation frameworks, feedback loops, and quality measurement for LLM outputsSupporting the transition from prototype to scalable MVPWorking closely with product and engineering stakeholders day-to-dayTech stackReact/Next.jsPostgres / SupabaseArize PhoenixFlexible backend approach (still being shaped)What we’re looking for:Strong Full Stack engineering experience in production environmentsHands-on experience with AI-enabled products, LLM workflows, or agent-based systemsFamiliarity with evaluation, prompt testing, or LLM quality measurement is importantExposure to LangGraph, Langfuse, and LangSmith would be highly relevantExperience with MCP-style infrastructure or tool orchestration patterns (e.g. caching/retrieval layers such as mcp-refcache) Comfortable working in fast-moving, product-led environmentsExperience working in AI-native setups (e.g. using tools like Claude Code) is a plusThere is a strong alignment with candidates who have worked across the LangGraph / Langfuse / LangSmith ecosystem. Experience building or contributing to MCP-style infrastructure patterns is particularly relevant given the direction of the platform. Contract details:3-month contractRemote (EU-based)Occasional fully expensed travel for in-person collaboration sessions
Sam OliverSam Oliver
Texas, United States
SVP of Site Reliability
SVP, Site Reliability Engineering (AI-Native SaaS Platform) Remote We’re hiring an experienced, hands-on SVP of Site Reliability Engineering to lead reliability, incident response, and AI-driven operations for a fast-scaling enterprise SaaS platform. This is a high-impact leadership role focused on building and evolving an AI-first SRE function where automation, agentic workflows, and intelligent remediation are central to the operating model. You’ll lead a small team of senior engineers responsible for platform uptime, customer experience, observability, incident management, and auto-remediation systems across a large-scale AWS environment. This role requires a technical leader who remains close to the code, drives critical incident response, and partners directly with executive leadership and enterprise customers. What We’re Looking For10 years in SaaS infrastructure, SRE, DevOps, or platform engineeringProven leadership experience at VP/SVP/Head of Engineering levelDeep expertise in AWS, cloud-native infrastructure, distributed systems, and multi-region production environmentsStrong background in AIOps, agentic automation, auto-remediation, and AI-driven incident responseHands-on experience with observability and incident management platforms such as Grafana, Prometheus, Datadog, PagerDuty, Loki, or similarStrong coding and automation skills with a passion for operational excellenceExperience improving uptime, MTTR, reliability, and customer satisfaction at scaleExecutive communication skills with enterprise customer-facing experienceComfortable operating in a fast-paced, high-ownership, fully remote environment Please apply for more information
Hayley KillengreyHayley Killengrey
Remote work, Switzerland
AI Data Engineer
We are supporting a large-scale digital and AI transformation initiative and are looking for a mid-level Data Engineer with strong Azure and Databricks expertise, combined with real-world experience delivering GenAI and agentic AI solutions into production environments.This role is ideal for someone who is hands-on, engineering-focused, and already using modern AI-assisted development workflows as part of their day-to-day work.What You’ll Be Doing:Build, optimize, and maintain production-grade data pipelines on AzureDevelop and support GenAI and agentic AI solutions that are actively used in live environmentsWork with Azure Databricks, Spark, and Delta Lake on scalable, business-critical workloadsBuild backend services and APIs in PythonIntegrate Azure AI capabilities including Azure OpenAI, Azure AI Search, and Azure AI FoundryCollaborate with cross-functional engineering and AI teams to deliver reliable, scalable solutionsUse AI-assisted and agentic development tools as part of daily engineering workflowsWhat We’re Looking For:Around 5 years of experience building and operating production data platforms and pipelinesProven experience delivering GenAI or agentic systems on Azure beyond proof-of-concept stageStrong hands-on experience with:Azure OpenAIAzure AI SearchAzure AI FoundryAzure DatabricksSparkData LakeStrong Python engineering skills, including APIs and backend servicesPractical, day-to-day usage of AI coding assistants and agentic development tools such as:GitHub CopilotClaude CodeCursoror similar platformsFluent English communication skillsNice to HaveExperience working in enterprise-scale cloud environmentsExposure to MLOps or AI platform engineeringFamiliarity with modern software engineering and CI/CD practicesThis profile has to be based in Europe.
Sam OliverSam Oliver
Berlin, Germany
AI Agents Product Lead
Product Lead, AI Agents and Platform Berlin hybrid We are hiring a Product Lead for a Berlin based AI studio building AI agents for German SMEs and larger organisations. The company helps clients identify, build, and deploy agentic workflows that remove operational bottlenecks and create measurable business impact. The product is already used by paying customers. The next step is turning successful client solutions into a scalable standalone platform. This role sits between product, consulting, and delivery. You will spend around 60 percent of your time working directly with clients. You will lead discovery workshops, manage several B2B projects in parallel, run regular client check ins, translate business goals into clear requirements, and work with engineers to make sure the agents being built solve real operational problems. The other 40 percent is focused on the company’s own platform. You will identify repeated customer needs, shape the backlog, create feature demos, review the market, and decide which one off solutions should become product features. This is a hands on product role. You do not need to be a software engineer, but you should understand technical feasibility and be comfortable learning modern AI tools quickly. Experience with Claude Code, Cursor, Lovable, n8n, LLM APIs, agent frameworks, JSON, logs, or workflow automation would be highly relevant. Must haves: 3 to 5 years in product management, technical consulting, implementation consulting, or B2B SaaS Strong German communication Experience leading B2B client projects Ability to prioritise business value Interest in AI agents, automation, and fast prototyping Comfort working closely with engineers and founders This is ideal for someone who enjoys building from real customer problems, moving fast, and turning repeatable delivery patterns into product.
Nathan WillsNathan Wills
Bern, Switzerland
Delivery Manager
Freelance Delivery Manager / Project Coordinator (German Speaking) We are looking for an experienced freelance Delivery Manager / Project Coordinator to support a public-sector digital construction programme in Bern. The role focuses on coordinating multi-vendor delivery activities, managing project setup and integrations, and supporting the rollout of new digital use cases within a centralized data environment aligned with international information management standards. Key RequirementsStrong delivery/project management experienceAgile delivery and stakeholder management skillsExperience coordinating software development and integrationsStrong communication and organizational skillsFamiliar with Jira, Confluence, and MS OfficeGerman language mandatoryHERMES certification preferredProject DetailsLocation: Bern, Switzerland (onsite required)Capacity: 50–70% (approx. 60% FTE)Start: 25 May 2026End: 31 Dec 2026Contract: FreelanceEnvironment: Multi-vendor coordinationIdeal for a senior Delivery Manager experienced in complex enterprise or public-sector environments.
Sam OliverSam Oliver
San Francisco, California, United States
AI Researcher - Video Generation
AI Researcher – Video World Generation San Francisco (Bay Area)Help build the next generation of AI video systems that can create rich, interactive worlds from text or images.What you’ll work on:Foundational diffusion models and world models for high-quality video generationReal-time AI pipelines that turn ideas into consistent, dynamic video scenesMulti-agent systems and orchestration for intelligent video creationRL techniques for more adaptive and open-ended video generationRequired:Strong production experience with large multimodal or agentic AI systemsHands-on work with distributed training or large-scale vision/diffusion pipelinesBonus (big plus):Experience training or fine-tuning diffusion modelsBackground in world models, simulation, robotics, or multi-agent systemsFamiliarity with game engines (Unity/Unreal) as test environments
Harry CrickHarry Crick
San Francisco, California, United States
Staff Engineer - Agentic AI
Staff Agentic AI Engineer / AI Engineer $200,000 - $270,000 San Francisco, CA Onsite, 5x per week in office Full time / Permanent Most "agentic AI" roles are still research projects dressed up as products.This one isn't. The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You’ll be in the codebase from day one, improving an agent that's already shipping, not starting from a blank page.This company builds AI-powered automation for mechanical engineers - Claude Code for CAD, CAE, and PLM workflows. $32M raised, backed by Eric Schmidt and early investors in Anthropic and OpenAI. Over 1,000 customers running production workflows on the platform.They're hiring a Staff Engineer to own the agent intelligence layer, the system that takes an engineer's intent and executes it reliably across complex desktop software. What you'd own:Evals infrastructure and agent benchmarking - defining what "good" looks like for a domain with no established benchmarkAgent harness build-out and ongoing performance improvement (task success rate, token efficiency, workflow coverage)Architecture decisions: tool-calling strategy, state management, context handling, model routing, error recoveryTechnical leadership of a small team of AI engineers - player-coach, not pure manager The profile they're looking for:Proven expertise building agentic systems into production. Systems that take real actions - tool-calling, multi-step state, failure handling, cost constraints. Ideally 2 yearsStrong on evals: task completion, failure mode analysis, regression detectionProduction-first mindset - you'd rather ship 70% coverage reliably than demo a clever system you can't measureBuilders over researchers. Too much academic background is a flag here Desktop automation experience is nice-to-have. Mechanical engineering background is nice-to-have. Experience taking agentic systems into production is the bar.
Benjamin ReavillBenjamin Reavill