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Senior GenAI Developer — OpenAI

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Hybrid

Senior GenAI Developer — OpenAI

EXL Talent Acquisition Team

Senior GenAI Developer — OpenAI

Skills

PythonData ScienceAIGitHubComplianceAzure

2 months ago

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Important information


Location:

Noida, Uttar Pradesh, India

Work mode:

Hybrid

Published on:

13 August 2026

What they need


The Senior GenAI Developer — OpenAI & Codex Specialist builds production-grade solutions using Azure OpenAI APIs, the Assistants API, Codex (GitHub Copilot Enterprise), and Whisper + GPT voice workflows. The role owns EXL’s OpenAI demo library across claims automation, compliance summarization, and developer-productivity use cases.

Operating within the India AI Center of Excellence, the developer converts solution designs into reliable, measurable systems and rapidly prototypes new OpenAI capabilities for client pursuits.

Responsibilities

  • Build production-grade solutions using Azure OpenAI APIs, the Assistants API, and Codex (GitHub Copilot Enterprise).
  • Develop Whisper + GPT voice workflows and integrate them into enterprise applications.
  • Own and expand EXL’s OpenAI demo library across claims automation, compliance summarization, and developer-productivity use cases.
  • Implement RAG pipelines, prompt orchestration, tool/function calling, guardrails, and evaluation on the OpenAI/Azure stack.
  • Develop and deploy services and APIs on Azure with attention to reliability, security, cost, and latency.
  • Collaborate with the OpenAI Solutions Architect and delivery teams to turn designs into working systems.
  • Maintain technical documentation and reusable assets to accelerate delivery.

Must-Have Skills

  • 5–7 years of engineering experience, with hands-on GenAI/LLM delivery.

OpenAI & Codex Engineering

  • Strong hands-on experience with Azure OpenAI APIs and the Assistants API.
  • Experience with Codex / GitHub Copilot Enterprise for developer-productivity solutions.
  • Experience building Whisper + GPT voice workflows.
  • Practical experience with RAG, embeddings, vector databases, and evaluation.

Core Engineering

  • Strong Python engineering skills (production-grade coding, testing, packaging, API development).
  • Hands-on Azure deployment experience (containers, CI/CD, monitoring).
  • Good communication skills and the ability to work closely with architects and delivery teams.

Good-to-Have / Preferred

  • Domain exposure to insurance/claims, compliance, or BFSI use cases.
  • Experience contributing demo libraries, accelerators, or reusable assets to a CoE.
  • Familiarity with agentic workflows and orchestration frameworks.
  • Relevant Azure or OpenAI certifications.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline (or equivalent practical experience).

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