Senior GenAI Developer — OpenAI
At a glance
Senior AI Engineering role at Fa Ewjt Saasfaprod1. Noida · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build production-ready systems with Azure OpenAI APIs, the Assistants API and Codex
- Create Whisper and GPT voice workflows, then connect them to enterprise applications
- Expand demos for claims automation, compliance summaries and developer productivity
- Set up RAG, prompt flows, tool calls, safeguards and evaluation on the OpenAI and Azure stack
- Deploy Azure services and APIs, and maintain documentation and reusable delivery assets
What you bring
- At least five years of engineering work, including hands-on delivery with GenAI or LLMs
- Strong practical experience with Azure OpenAI APIs, the Assistants API and Codex or GitHub Copilot Enterprise
- You have built Whisper and GPT voice workflows and worked with RAG, embeddings, vector databases and evaluation
- Production-level Python skills and hands-on Azure deployments, including containers, CI/CD or monitoring
Who this fits
This role suits a senior engineer who can turn solution designs into working systems alongside architects and delivery teams. It is based in Noida, India, with a hybrid arrangement.
From the employer
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).