Job description :
We are seeking a talented Generative AI Technical Lead with both DataScience and Software Engineering background to drive development and adoption of AI Solutions.
In this role you will contribute to architecting, designing and leading small team of GenAI Client Engineers to build multi agent framework.
Your primary responsibility will be to lead development of Generative AI solutions that focus on technology improvements such as Technology Assistants & Data Agents.
Responsibilities :
Collaborate with cross-functional teams such as User Teams, Data Scientists, Core Development Team and Partner Team Developers to identify requirements and architect and lead the development and testing of the AI Agents.
Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
Assit for Product Roadmap creation & define product requirements.
Architect and Design a large enterprise scale framework such as Knowledge Graph.
Write clean, high-performance, high-quality, maintainable code.
Design & Implement large scale Clustering, Topic Management system.
Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Requirements :
A Master's or Ph.D. degree in Computer Science or a related field.
Minimum 10 years experience with atleast 5 years in designing and building Client / AI Solutions.
Proven experience working in a large Technology Startup or AI Software Product leading development and adoption of the product or a platform.
Strong proficiency in programming languages such as Java, Python, Client Platorms, LLMs, Machine Learning etc
Experience in building Graph based systems.
Experience architecting & leading development of large Generative AI system or platform.
Experience in development of technical product or platform for large enterprises.
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have )
Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
Proven ability to adapt and learn new technologies and frameworks quickly.
A proactive mindset with a passion for continuous learning and research.
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