Senior GenAI Developer — OpenAI
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.
- Compensation
- Not disclosed
- Location
- Noida, Uttar Pradesh, India
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5–7 years of engineering experience, with hands-on GenAI/LLM delivery.
Nice to have
- 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.
Full description
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).