Technical Lead - Agentic AI

Educational Qualification*

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Experience Range

8-10 years of experience in AI/ML-related roles, with a strong focus on OpenAI technology.
• Proven experience as a Data Scientist/AI Developer with expertise in machine learning and data science.

Primary (Must have skills)* - To be Screened by TA Team

GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering.
• Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition.
• Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions.
• Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability.
• API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs.
• Documentation: Excellent documentation and communication skills.

Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)

Key technical skills :

As a Lead Data Scientist specializing in OpenAI technology and Cognitive Services, you will lead the design and development of AI applications and models powered by OpenAI's state-of-the-art models. You will collaborate with cross-functional teams to build innovative AI solutions. Your responsibilities will include:
Primary Responsibilities:
• Leading the design and implementation of GenAI projects. The Lead Data Scientist will also be responsible for providing technical guidance and leadership to the team and ensuring that projects are delivered on time and to a high standard.
• Design and develop GenAI-powered chatbots and virtual assistants using RAG (Retrieval-Augmented Generation) techniques.
• Experience in creating AI agents using agentic frameworks like langGraph, autogen, etc.
• Programming and Implementation: Write high-quality, efficient code in Python for AI model development, with a strong focus on OpenAI libraries and frameworks.
• Design RAG pipelines that ingest data from structured and unstructured sources
• API Integration: Integrate OpenAI models into software applications and systems, ensuring seamless functionality.
• Collaboration: Collaborate closely with data scientists, engineers, and product managers to translate project requirements into technical specifications.
• Documentation: Create and maintain technical documentation for OpenAI models, algorithms, and best practices.
Secondary Responsibilities:
• Research: Stay updated on the latest developments in OpenAI technology, best practices, and emerging capabilities.
• Proof of Concept: Participate in the development of proof-of-concept projects to explore the feasibility of OpenAI solutions.