Hire pre-vetted OpenAI Developers

Most engineering teams can wire up a basic call to the OpenAI API in an afternoon. Turning that first call into a production system that handles rate limits, token costs, hallucination risk, and real user traffic is a different job. Companies that hand GPT work to a generalist backend developer often rebuild the integration twice: once to make it run, once to make it reliable. A chatbot that hallucinates a policy detail or an AI feature that times out under real traffic costs more in support tickets and lost trust than the hiring search would have cost in the first place.

What does an OpenAI developer actually own beyond the API call?

A real OpenAI hire covers what generic API work skips: prompt design that survives edge cases, function calling and structured outputs, retrieval augmented generation over your own data, embeddings and vector search, and fine-tuning when a base model is not precise enough. Cortance's OpenAI-focused engineers average four years of hands-on work with the OpenAI API specifically, on top of broader software backgrounds, so the ramp-up on your project is measured in days, not sprints. Several also build their own day-to-day work with GPT-based coding assistants, which shows up as fewer hours lost to boilerplate and faster first-pass code review on the features they ship for you. Depending on scope, you can bring on one senior OpenAI engineer to own architecture and prompt strategy, a small dedicated team for a full build, or staff augmentation to add GPT work to a team you already have.

Engineers available for OpenAI work right now

A sample of the developers Cortance can put in front of you this week:

1. Oleh Sh., Senior TypeScript/Python AI Engineer based in Lviv, Ukraine. Verified, with 4 of his 7 years centered on OpenAI as a core skill.
2. Stanly Medjo, Full Stack Developer based in Egypt. 6 years of overall experience, 3 of them hands-on with OpenAI across AI and fintech projects.
3. Yaroslav R., Fullstack Developer based in Poland. Verified, with OpenAI as a core skill alongside e-commerce and retail domain work.

Every one of these profiles goes through the same vetting Cortance runs on all developers before a client ever sees the CV, not a resume keyword match.

Pair OpenAI with the stack it ships next to in practice

OpenAI work rarely ships alone. On Cortance projects it pairs most often with Python or TypeScript on the backend, LangChain or LlamaIndex for orchestration, and Pinecone or pgvector for retrieval, with AWS or GCP underneath. If your infrastructure is standardized on Microsoft's cloud rather than OpenAI's own platform, our Azure OpenAI developers page covers that path specifically, since the two hiring profiles do not fully overlap. For teams in regulated industries, the same engineers can also scope OpenAI's enterprise data handling options so customer data does not end up used for model training by default.

Cortance's matching system reads your actual requirements, not just a job title, and checks them against verified skill and project data before anyone reaches your inbox. If you want a closer look at how that vetting works for generative AI roles specifically, our guide on vetting generative AI developers walks through the process end to end.

Tell us what you are building: a customer-facing chatbot, an internal knowledge assistant, a document pipeline, or something else entirely. We will send a shortlist of OpenAI developers who match it within days.