Generative AI Recruitment

Generative AI &
LLM Recruitment

Davidson Tech recruits Generative AI and large language model specialists for organisations building AI products, enterprise copilots, intelligent agents, knowledge systems and production-grade GenAI platforms. This is part of our International AI & Technology Recruitment practice.

Our searches can be local or international and are designed around the engineering, data, evaluation and deployment requirements of the actual use case.

Generative AI roles we recruit

Generative AI Engineer / Applied AI EngineerLLM Engineer / LLM Application EngineerAI Solutions Architect / GenAI Solutions Architect
RAG Engineer / Retrieval Engineer
Agentic AI Engineer / AI Agent Engineer
AI Product Manager / GenAI Product LeadMachine Learning Engineer with LLM specialisationMLOps / LLMOps Engineer
AI Evaluation Engineer / Model Evaluation specialist
NLP Engineer / Conversational AI Engineer
AI Platform Engineer / AI Infrastructure Engineer
Head of Generative AI / Director of Applied AI

Typical GenAI hiring scenarios

We assist teams with building, launching, developing, creating, and scaling AI solutions.

  • Building an internal enterprise GenAI platform
  • Launching customer-facing AI assistants or copilots
  • Developing domain-specific RAG and knowledge systems
  • Creating agentic workflows for operations or customer service
  • Scaling prototypes into secure, observable production systems
  • Hiring leadership to establish a GenAI centre of excellence
  • Adding AI architecture capability to an existing cloud/data team

Skills and experience we map

The exact technical profile depends on the product. Search criteria may include model selection, prompt and context engineering, retrieval-augmented generation, vector search, orchestration, tool use, agent workflows, evaluation, fine-tuning, guardrails, observability, data pipelines, cloud deployment, latency and cost optimisation.

Candidates should be assessed on what they have built and operated, not on whether a particular framework appears on the CV. Davidson Tech therefore focuses on architecture decisions, failure modes, evaluation methodology, production constraints, security and measurable outcomes.

International GenAI sourcing

GenAI expertise is distributed across product companies, cloud platforms, AI labs, consultancies and enterprise AI teams. Davidson Tech can search India, the UK, Europe, Singapore, North America, Australia and the GCC to identify candidates with the relevant combination of model knowledge, software engineering and production delivery.

How we assess GenAI candidates

1

Clarify the use case, data environment, model strategy and production requirements.

2

Map target companies and talent markets where comparable systems are being built.

3

Interview for technical depth, software engineering quality and actual delivery experience.

4

Probe evaluation methods, hallucination controls, security, latency, cost and observability.

5

Present a shortlist with clear evidence of relevance to the client’s use case.

Frequently Asked Questions

Generative AI recruitment focuses on professionals who design, build, evaluate and operate applications powered by foundation models and large language models, including RAG systems, AI agents and enterprise AI platforms.

Difficulty varies by market, but senior applied AI engineers, AI architects, evaluation specialists, LLMOps/MLOps engineers and leaders who have taken GenAI systems into production are often more constrained than general software roles.

Yes. International sourcing can cover major AI and technology markets based on the required seniority, domain experience, location and work model.

Both can matter, but production outcomes are more important. Candidates should be able to explain architecture choices, evaluation, trade-offs, failure modes, security and how the system performed in practice.

Building a GenAI product or enterprise AI capability?

Davidson Tech can map the international talent market for the engineers, architects and leaders you need. Last updated: August 2026.

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