GenAI Application Technical Lead

10 - 15 years

10 - 15 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • 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 year s experience with atleast 5 years in designing and building ML/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, ML 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 DBs ( 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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