Dedicated AI engineering talent
Hire AI developers from Relevance Lab — dedicated AI, LLM, generative AI, AI agent and RAG engineers plus prompt engineers, on a staff-augmentation basis, as a team extension, or as a managed AI pod.
Quick answerYou can hire AI developers from Relevance Lab as dedicated staff-augmentation engineers you direct, as a team extension, or as a managed AI pod we run to an outcome. Engineers are vetted for AI/ML and LLM depth, ramp on your stack quickly, and work in your tools and process. It is a distinct funnel from project-based delivery — capacity and skills, not fixed scope.
AI roles you can hire
Each links to a dedicated page.
Hire LLM Developers
Fine-tuning, RAG, LLM application development, evaluation and LLMOps.
ExploreHire Generative AI Developers
GenAI application development, RAG, agents, guardrails and evaluation.
ExploreHire ChatGPT & OpenAI Developers
Custom GPTs, Assistants API, function calling, RAG and fine-tuning.
ExploreHire Claude & Anthropic Developers
Claude apps, tool use, long-context and RAG solutions.
ExploreHire AI Agent Developers
Autonomous agents, orchestration, tool integration and guardrails.
ExploreHire RAG Developers
Vector search, hybrid retrieval, grounding, evaluation and RAG apps.
ExploreHire Prompt Engineers
Prompt and context design, evaluation, guardrails and cost reduction.
ExploreSupporting roles for an AI team
MLOps / LLMOps engineers
CI/CD for models and prompts, versioning, monitoring, drift and cost controls.
Data engineers for AI
Pipelines, feature stores and governed data products that make data usable for AI.
AI security & Responsible AI
Threat modelling, evaluation and red-teaming, and governance implementation.
AI solution architects
Reference architecture, model selection and integration design.
Hiring developers or a fixed-scope project?
| Dimension | Hire developers (this page) | Project-based delivery |
|---|---|---|
| Who owns the outcome | You direct the work | We own scope and delivery |
| Billing | Monthly, per engineer | Fixed scope / milestones |
| Flexibility | Scale up or down monthly | Change requests |
| Best for | Ongoing capacity and skills | A defined outcome by a date |
| Combine both | Common | Common |
AI talent that ramps fast and delivers
Vetted for AI depth
Screened for real AI/ML and LLM engineering, not adjacent skills.
Your process from day one
Your repos, CI/CD, review flow, ticketing and security requirements.
You own everything
Code, models, documentation — in your environment.
Platforms behind them
RLCatalyst and Spectra, plus a bench to draw on for spikes.
Flexible engagement
Move between staff aug, a pod and fixed-scope without re-contracting.
Fast start
Named candidates in days; most roles start within 1–3 weeks.
- AWS
- DataStax
- Salesforce
- Snowflake
Scaling this across the enterprise?
Our Enterprise AI Services practice brings generative AI, agents and LLMs to production at scale — with the governance, platform and operating model to keep them reliable, compliant and cost-controlled.
How our AI teams work
Governed AI coding assistants with Research Gateway & Amazon Bedrock
Secure, self-service access to AI coding assistants with institutional control over data and usage cost.
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Read MoreHire AI Developers: frequently asked questions
Content last reviewed: September 2026
Need AI engineers on your team?
Share the role, stack and timeline and we will send named candidate profiles within days.
Hire AI Developers
Share the role, your stack and your timeline. We send named candidate profiles within days, and engineers typically start within 1–3 weeks — staff augmentation, team extension or a managed AI pod.