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.

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

Meet Anthony

Anthony Kelly

Co-Founder & MD EU/UK

Meet Hayley

Hayley Killengrey

Co-Founder & MD USA

Meet Jonathan

Jonathan Harrold

Principal Consultant | DACH

Meet Benjamin

Benjamin Reavill

Consultant - US

Meet Edward

Edward Killin

Principal Recruitment Consultant

Meet Luke

Luke Weekes

Senior Consultant

Meet David

David Rodwell

Senior Recruitment Consultant

Ohio, United States

Drone Sales Specialist

Permanent£190000 per annum

🚁 Hiring: Drone Sales Specialist📍 Remote – North America or Europe✈️ Travel to customers and industry events(OPEN TO ALL SENIORITY LEVELS)I’m supporting a global battery technology and manufacturing business that is expanding its commercial team across the drone and UAV market.The role will focus on opening new customer relationships, managing the full sales cycle and working closely with engineering teams to align product performance with customer requirements.Key responsibilities:• Develop new business with drone OEMs, UAV manufacturers, defence customers, pack integrators and component suppliers• Manage opportunities from initial engagement through testing, qualification, RFQ and production order• Build relationships across commercial, defence, public safety and advanced mobility markets• Attend major drone and aerospace events to generate pipeline• Work with technical teams around flight time, payload, energy density, safety and performanceThe ideal person will already have strong relationships across the drone ecosystem and a proven track record of converting technical customer opportunities into revenue.Battery experience is beneficial but not essential. Experience across drones, UAVs, eVTOL, defence, aerospace or autonomous systems is highly relevant and ideally a must have for this sales related role.The role can be tailored around seniority, with strong commission upside.

Nathan Wills

Posted 3 days ago

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Paris, Ile De France, France

Agentic AI Engineer

Permanent£80000 - £100000 per annum

Agentic AI EngineerParis, onsite five days per weekWe are supporting an early stage AI company building a knowledge and decision layer for factories.The platform ingests documents, logs, images, and video, then converts this information into an internal ontology and graph that AI agents can use to reason, call tools, and support operational workflowsYou will help design the core intelligence layer, from data ingestion and modelling through to graph architecture, agent orchestration, evaluation, and production reliability.This is not a basic RAG role. You will need to understand how information is structured, how relationships are represented, and how agents navigate complex systems.You should bring strong Python and software engineering skills, experience with data modelling, graph based systems or knowledge graphs, and production experience with applied AI. You should also understand tool calling, agent workflows, prompt design, and evaluation frameworksExperience with Graph RAG, Langfuse, ontologies, multimodal data, manufacturing, robotics, or industrial software would be useful.Founding engineer or technical founder experience is also valued.Salary is expected to sit around €80,000, with flexibility towards €100,000 or above for exceptional profiles. Equity may also be available.If your open to this position, feel free to apply to this JD with your updated resume and we'll be in touch to discuss further if there is alignment.

Nathan Wills

Posted 4 days ago

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New York, United States

Senior Engineer, Intelligent Document Processing

Permanent£2250000 per annum

We're working exclusively with a well-funded, venture-backed AI software company that's transforming complex enterprise workflows through applied AI. As part of its next phase of growth, the company is looking for a Senior Engineer to own the document intelligence layer that powers its core platform. This is a high-impact engineering role focused on building reliable systems that convert complex, real-world documents into structured data used by AI applications in production. If you enjoy solving difficult problems around OCR, document parsing, extraction quality and data reliability, this is an opportunity to own a mission-critical area of the product. What you'll be working onDesigning and improving OCR and document extraction pipelinesBuilding systems that process PDFs, spreadsheets, scanned documents, images and other structured and unstructured dataImproving extraction accuracy, reliability and performance across production workloadsDeveloping validation frameworks, confidence scoring and quality assurance toolingPartnering with AI engineers to prepare high-quality data for LLM-powered workflowsInvestigating extraction failures and continuously improving system performanceBuilding monitoring, evaluation and observability tools for document processing pipelinesWorking closely with product and domain experts to support increasingly complex customer workflows We're looking for someone with5 years of software engineering experienceStrong backend engineering fundamentalsExperience building production document processing, OCR, ETL or data extraction systemsExperience working with PDFs, spreadsheets, scanned images or other document formatsStrong debugging skills and an obsession with data quality and correctnessAbility to work independently and take ownership of critical platform components Nice to haveExperience with OCR, Computer Vision, Document AI or information extraction technologiesExperience integrating LLMs into production document workflowsExposure to financial services, accounting, legal technology, insurance or other document-heavy industriesExperience building evaluation frameworks or quality measurement systemsExperience operating large-scale document processing pipelines Why this opportunity?Own a core platform capability that directly impacts product quality and customer experienceSolve technically challenging problems involving OCR, document intelligence and AIWork alongside experienced engineers in an AI-native environmentHigh levels of ownership with significant technical influenceCompetitive compensation, meaningful equity and the opportunity to build technology used in production by enterprise customers

Luke Weekes

Posted 9 days ago

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New York, United States

Senior Engineer, Internal Projects

Permanent£235000 - £270000 per annum

We're partnering with a well-funded, venture-backed AI software company that's building cutting-edge products at the intersection of AI, automation and enterprise workflows.As the business scales rapidly, they're looking to hire a Senior Software Engineer to build the internal AI systems that enable the company to operate faster, smarter and with significantly more leverage.This isn't a customer-facing product engineering role. Instead, you'll work directly with leadership and cross-functional teams to identify operational bottlenecks and build AI-powered tools that eliminate manual work across the business.What you'll be working onDesigning and building internal AI applications that improve company-wide productivityDeveloping LLM-powered tools for knowledge management, recruiting, customer operations and business workflowsAutomating repetitive processes across Sales, Customer Success, Operations, Product and ImplementationIntegrating internal systems including Slack, CRM platforms, ticketing systems, documentation and workflow toolsBuilding intelligent reporting, search and decision-support systemsPartnering directly with internal stakeholders to understand problems and rapidly ship solutionsUsing modern AI tooling, agents and automation frameworks to create leverage across the organisationWe're looking for someone with5 years of software engineering experienceStrong backend and/or full-stack development experienceExperience building internal platforms, automation tooling or AI-enabled applicationsHands-on experience with LLMs, AI agents, workflow automation or API integrationsStrong product mindset with the ability to understand business problems and translate them into softwareComfortable working autonomously in a fast-moving, ambiguous environmentExcellent communication skills and high ownershipNice to haveExperience building AI tooling for internal business operationsFamiliarity with Slack, CRMs, Linear, Notion, Confluence or similar internal platformsExperience working in a high-growth startup environmentExposure to RevOps, Customer Success systems, recruiting technology or business operationsA track record of turning manual processes into scalable softwareWhy this opportunity?Build AI products that have an immediate impact across an entire businessWork directly alongside experienced founders and senior leadershipHigh levels of autonomy with real ownership from day oneOpportunity to shape how an AI-native company scales internallyCompetitive salary, meaningful equity and the chance to work on genuinely challenging engineering problems

Luke Weekes

Posted 9 days ago

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New York, United States

Senior AI Engineer

Permanent£230000 - £300000 per annum

We're partnering with a well-funded, venture-backed AI software company that's building mission-critical AI products for enterprise customers. They're looking for a Senior Engineer to join the team responsible for their flagship AI product, helping build production-grade AI systems that solve complex, real-world workflows where accuracy, reliability and trust are essential. This is an opportunity to work on far more than prompt engineering—you'll design, build and scale agentic AI systems that customers depend on every day. What you'll be working onBuilding and shipping production LLM-powered product featuresDesigning agentic workflows capable of solving complex, multi-step business problemsImproving retrieval, reasoning, orchestration and AI system reliabilityDeveloping robust RAG pipelines, tool-calling frameworks and evaluation systemsPartnering closely with product teams and domain experts to translate customer workflows into AI-native experiencesBuilding AI systems that perform reliably in production—not just impressive demosInvestigating AI failure modes and continuously improving model performance and user experienceCollaborating with platform engineers to improve observability, scalability and reliability We're looking for someone with5 years of software engineering experienceStrong backend and/or full-stack engineering fundamentalsExperience building production software productsHands-on experience with LLMs, AI agents, RAG, workflow orchestration or AI-enabled applicationsStrong product mindset with the ability to solve ambiguous customer problemsComfortable working cross-functionally with engineers, product managers and domain expertsHigh ownership and excellent communication skillsNice to haveExperience building production LLM applications at scaleExperience with agent frameworks, retrieval systems, evaluation frameworks or tool-calling architecturesExperience working in regulated or high-trust industries such as financial services, legal technology, compliance or enterprise SaaSExperience building AI products around complex document workflowsPrevious startup experience in a fast-paced engineering environmentWhy this opportunity?Build AI products used by real enterprise customers every daySolve genuinely difficult problems in applied AI—not experimental prototypesWork alongside experienced engineers in an AI-native companyHigh ownership with direct influence over the product roadmapCompetitive salary, meaningful equity and significant technical impact from day one

Luke Weekes

Posted 9 days ago

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Remote work, Switzerland

AI Data Engineer

Contract€300 - €325 per day

We are looking for an experienced Data Engineer to join a growing data and AI team, helping to build modern data solutions that support advanced analytics and machine learning.This role centres on building robust data ingestion pipelines within Snowflake and delivering predictive analytics using Snowflake Cortex. While the majority of machine learning will leverage Snowflake's managed ML capabilities, there will also be opportunities to develop bespoke Python models where business requirements extend beyond native functionality.You will play a key role in designing scalable data engineering solutions, preparing high-quality datasets, and ensuring production-ready machine learning outputs are delivered to downstream applications.Key ResponsibilitiesDesign, build and maintain scalable data ingestion pipelines into Snowflake from structured and time-series data sources.Develop predictive analytics solutions using Snowflake Cortex, including forecasting, anomaly detection and classification.Prepare machine learning datasets through feature engineering, windowed aggregations and time-series transformations.Develop custom machine learning models using Python and Snowpark (including scikit-learn, XGBoost and LightGBM) where native Snowflake capabilities are not suitable.Integrate machine learning outputs into downstream applications and analytics platforms.Monitor and maintain production data pipelines and machine learning solutions, including data quality, model refreshes and performance monitoring.Optimise Snowflake performance and ensure data engineering best practices are followed.Required Skills & ExperienceStrong commercial experience with Snowflake, including SQL, Streams, Tasks, Snowpipe and performance optimisation.Experience using Snowflake Cortex ML capabilities for forecasting, anomaly detection and classification.Strong Python development skills, including Snowpark.Experience building data pipelines and preparing datasets for machine learning.Knowledge of time-series data processing and feature engineering techniques.Experience developing machine learning models using libraries such as scikit-learn, XGBoost or LightGBM.Understanding of production monitoring, data quality and model lifecycle management.Desirable ExperienceExperience with Snowflake ML features such as Model Registry and Feature Store.Knowledge of Azure Data Lake, Microsoft Fabric or other modern cloud data platforms.Familiarity with Snowflake AI capabilities such as AISQL, Cortex Search or related technologies.

Sam Oliver

Posted 11 days ago

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Greater London, South East, England

Principal AI Engineer

Permanent£100000 - £120000 per annum, Benefits: 10% Performance based bonus

Principal Software Engineer (AI)Our work focuses on delivering innovative technology that creates meaningful, real-world impact. We are united by a shared commitment to developing solutions that help organisations harness the power of data, AI, and advanced software capabilities.We help life sciences and BioPharma organisations unlock the potential of AI and machine learning to improve outcomes and accelerate innovation. Through cloud-based software platforms and specialist services, we support organisations in managing complex scientific and operational data, improving workflows, and enabling smarter decision-making.With decades of expertise in scientific informatics, our solutions help organisations design, execute, and optimise processes, manage and structure data, and generate valuable insights across the product lifecycle—from research and development through to manufacturing.The Principal Software Engineer (AI) will provide technical leadership in the design and delivery of production-grade, GenAI-enabled capabilities across enterprise software platforms. The role focuses on applying large language models (LLMs) to real-world enterprise data, including scientific, clinical, and operational information, to enable AI-driven discoverability, summarisation, reporting, and decision support.Operating at principal level, you will be hands-on, guiding engineering teams through the transition from proof of concept (POC) to early adoption and general release, while helping establish sustainable AI engineering practices across the wider technology organisation.You will collaborate closely with data scientists, domain specialists, and technical teams to deliver intelligent solutions for knowledge extraction, decision support, and workflow automation.In this role, you will have the opportunity to:Lead the delivery of AI-enabled platform capabilities that accelerate insight generation and decision-making across complex enterprise environments.Design and productionise scalable GenAI solutions using approaches such as retrieval augmented generation (RAG), integration frameworks, and selectively applied agentic patterns—balancing capability, cost, performance, and trust.Translate scientific and business requirements into robust AI system designs that integrate effectively with data platforms, workflows, and APIs.Establish engineering best practices for GenAI and LLM applications, including architecture patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle.Act as a technical leader by mentoring engineers, influencing architectural decisions, and supporting successful delivery and adoption of AI capabilities across software platforms.Essential requirements:Experience designing, building, and operating LLM-powered capabilities such as document summarisation, retrieval augmented generation (RAG), and question-answering systems over enterprise datasets.Experience developing AI-ready data foundations, including unstructured data pipelines, metadata extraction and enrichment, and hybrid architectures using vector stores alongside relational databases.Proven ability to deploy AI systems into production environments, including monitoring model behaviour, data drift, cost, and latency.Strong judgment in making pragmatic engineering trade-offs to support reliability, scalability, and enterprise adoption.Experience establishing robust AI operational practices, including versioning of prompts, models, and data, as well as implementing feature flags and controlled rollout strategies.Ability to collaborate effectively with cross-functional partners, provide technical leadership, mentor engineers, and drive delivery in complex environments.Desirable (but not essential):Experience applying GenAI solutions within life sciences, healthcare, scientific, clinical, or regulated environments.Familiarity with building AI capabilities that support knowledge extraction, decision support, and workflow automation across enterprise data ecosystems.Experience with cloud-based platforms and modern data technologies such as Databricks and AWS.Experience defining or contributing to organisational best practices for AI engineering, including evaluation methods, governance frameworks, and scalable adoption approaches for generative and agentic AI.

Edward Killin

Posted 21 days ago

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San Francisco, California, United States

Senior ASR Engineer

Permanent$200000 - $250000 per annum

Senior ASR Engineer (Speech Recognition / Voice AI)$200,000–250,000 equity benefitsRemote / San Francisco, CA (Hybrid)Full-time / PermanentDeepRec has partnered with a healthcare AI startup using conversational AI to reduce admin burden and improve patient experiences. Your work will sit at the centre of every interaction. When the speech system performs well, patients get faster support, clinicians receive better information, and healthcare teams spend less time on manual tasks.This role is for someone who enjoys solving real-world speech problems, not just improving benchmark scores.The OpportunityYou'll own ASR quality across live patient conversations. From noisy phone lines to accented speech and complex healthcare terminology, you'll identify failure patterns, build evaluation systems, and improve transcription performance where it matters most: production.You'll work across ASR, telephony, LLM workflows, and product teams to make every conversation more accurate and reliable.What You'll Do- Own ASR evaluation across live and recorded calls- Diagnose transcription failures and identify root causes- Build benchmarking frameworks and error analysis workflows- Improve recognition of healthcare language and terminology- Compare and evaluate ASR models and vendors- Create dashboards for quality monitoring and performance tracking- Partner with engineering and product teams on improvementsWhat You'll BringEssential- Strong experience with speech recognition or voice AI systems- Deep understanding of ASR evaluation and error analysis- Strong Python skills for ML and audio workflows- Experience diagnosing production AI system failuresDesirable- Experience adapting or fine-tuning ASR models- Background in healthcare, telephony, or regulated environments- Experience with real-time conversational AI systems*We encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.*What's In It For You- Remote-first role across the US and Europe- Ownership of a business-critical AI capability- Work across ASR, telephony, LLMs, and healthcare AI- Healthcare, dental, vision, 401(k), and flexible paid time off- Opportunity to shape how conversational AI performs in production

Benjamin Reavill

Posted 21 days ago

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