Senior GenAI Developer — OpenAI
Summary
Build production-grade GenAI systems using Azure OpenAI APIs, Assistants API, and Codex to prototype voice workflows and demo libraries for claims automation, compliance, and developer productivity.
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).