Generative AI Engineer

Impetus; Bengaluru Urban; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Impetus is seeking a talented GenAI Developer with strong Python and Google Cloud Platform expertise to design, develop, and deploy cutting-edge generative AI solutions. You will lead the full lifecycle of GenAI projects, from ideation to deployment, and help advance our AI capabilities.

Responsibilities include building GenAI applications using Vertex AI and related GCP services, collaborating with cross-functional teams, and documenting model specifications for robust, scalable solutions.

Responsibilities

• Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google Kubernetes Engine, Cloud Functions, BigQuery).
• Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions.
• Stay up-to-date with the latest advancements in generative AI, large language models (LLMs), and related technologies.
• Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems.
• Participate in code reviews, contribute to architectural discussions, and promote best practices within the team.
• Document technical designs, processes, and model specifications.

Job description

We are seeking a talented and passionate GenAI Developer with strong expertise in Google Cloud Platform (GCP) and Python to design, develop, and deploy cutting-edge generative AI solutions. The ideal candidate will be instrumental in leveraging GCP's AI services to build scalable, robust, and performant GenAI applications that solve complex business problems. You will work on the full lifecycle of GenAI projects, from ideation and prototyping to deployment and optimization, contributing to the advancement of our AI capabilities.

• Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google Kubernetes Engine, Cloud Functions, BigQuery).
• Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions.
• Stay up-to-date with the latest advancements in generative AI, large language models (LLMs), and related technologies.
• Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems.
• Participate in code reviews, contribute to architectural discussions, and promote best practices within the team.
• Document technical designs, processes, and model specifications.