ChatbotsHire OpenAI Developers
Hire dedicated OpenAI developers who integrate with your team and take ownership of delivery. Build GPT-4, multimodal, RAG, and agent-based solutions with senior engineers, agile execution, and production SLAs.
Hire dedicated OpenAI developers who integrate with your team and take ownership of delivery. Build GPT-4, multimodal, RAG, and agent-based solutions with senior engineers, agile execution, and production SLAs.
We meet to understand your product goals, data environment, and the OpenAI capabilities you want to build. Our team maps your requirements to the right OpenAI skill set and begins sourcing OpenAI engineers from our senior talent pool.
Our HR managers select senior OpenAI developers, prompt engineers, and LLM specialists who match your stack and domain. You receive CVs, technical profiles, and past LLM project samples. You can interview candidates directly before making any commitment.
Once you’ve approved the candidates, we handle onboarding, NDA signing, and API key access, vector DB setup, and tool integration so your new OpenAI developers are productive from day one.
Your dedicated OpenAI development team starts building on your proprietary data, fine-tuning models for domain accuracy, shipping AI agents, or rolling out a full OpenAI-powered product to production.
You work with a dedicated project manager who coordinates delivery, tracks progress, and keeps communication clear from kickoff to launch.
With 92% of our team at senior or mid-level, our OpenAI developers bring real production experience across GPT-4, Assistants API, and RAG systems in SaaS, fintech, and healthcare.
Our delivery framework includes internal technical audits, escalation paths, and clearly defined SLAs to manage risk early and keep projects on track.
Clients rate us highly not just for our technical output but also for our communication, reliability, and business alignment.
We work in short, transparent sprints with regular demos, so you always have clear visibility into progress, priorities, and scope.
The same senior OpenAI developers who design your agent are the ones who ship it and support it in production. That continuity helps maintain speed, quality, and full project context.
See how companies that hire AI developers benefit from high retention and senior expertise.
Chatbots
Product label
AIOpenAI developers at Relevant specialize in shipping production systems on top of the OpenAI platform: GPT-4o, GPT-4.1, o-series, Assistants and Responses APIs, embeddings, and the Realtime API.
The work is closer to senior application engineering than research ML: prompt engineering, RAG architecture, agent design, evals, cost optimization, observability, and integration with your existing SaaS stack.
A generalist ML engineer often comes from a research or computer-vision background and may not have shipped LLM applications into production.
Both. Most teams hire dedicated OpenAI developers as long-term embedded members of their team, assigned to one client and integrated into their stand-ups, JIRA, GitHub, and on-call rotation. We also offer project engagements (RAG build, agentic backend, fine-tuning workstream, OpenAI MVP) and a recurring retainer model for ongoing OpenAI work.
From the first call, we typically share matched candidates within 5–10 working days, with interviews and approval following the same week. A senior OpenAI engineer can be onboarded and shipping production code within 2–3 weeks of project kickoff for most stacks. For larger pods of 4–8 engineers, the full team is in place inside 4–6 weeks.
We offer three primary models:
Most teams start with a short discovery and convert into one of the three based on what fits.
We sign NDAs before any code, prompts, or data are shared. Every OpenAI integration is designed with a clear data-handling policy: what goes to OpenAI, what stays in your VPC, what is logged, what is retained, and how API keys and secrets are managed. We align security and compliance requirements with HIPAA, GDPR, and ISO 27001 from the start.
