Exponentia.ai - Senior Engineer - Generative AI Solutions

Job Responsibilities :

• Lead the development and deployment of Generative AI solutions using Databricks and advanced web frameworks.
• Architect and implement APIs to serve Generative AI models for production environments.
• Design end-to-end solutions for clients, focusing on GenAI applications, ensuring scalability and performance optimization.
• Provide expertise on pricing models, manage cost estimates, and develop Bill of Materials (BoM) for client projects.
• Collaborate with clients and internal teams to understand requirements and deliver tailored GenAI solutions.
• Document workflows, API structures, and architectural designs, ensuring transparency and clarity for all stakeholders.
• Effectively communicate with clients, providing regular updates on project progress and addressing any technical Skills :
• Minimum 7 years of relevant experience in AI / ML development and deployment.
• Proven experience developing and deploying end-to-end applications in production environments.
• Extensive hands-on experience with Databricks for building data pipelines and GenAI model development.
• Strong expertise in building and deploying APIs using modern web frameworks to serve GenAI models.
• In-depth knowledge of Generative AI models (e.g., GPT, LLAMA, Gemini, Anthropic and Open source models) and API integration.
• Experience conducting architecture and technical discussions with clients.
• Proficient in Python and libraries for GenAI (e.g., Hugging Face, OpenAI, Open source or custom-built transformer models).
• Experience with cloud platforms (preferably Azure / AWS) for deploying AI and GenAI solutions.
• Strong architectural skills for designing scalable and performant GenAI applications.
• Implement and integrate advanced LLM (Large Language Models) techniques, including LangChain, LlamaIndex, and other frameworks, for developing GenAI solutions.
• Apply prompt engineering techniques to optimize GenAI model outputs for specific client use cases.
• Ensure robust AI safety guardrails are in place during the development of Generative AI applications, focusing on prevention of unsafe outputs.

ref : hirist.tech)