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About the role
- Design, develop, and deploy Generative AI applications using Python and Google Cloud Platform services. - Build scalable AI solutions utilizing GCP services such as Vertex AI, Generative AI APIs, BigQuery, Cloud Functions, and Google Kubernetes Engine (GKE). - Develop and optimize prompt engineering, retrieval-augmented generation (RAG), and LLM-powered applications. - Collaborate with Product Managers, Data Scientists, Architects, and Engineering teams to gather requirements and translate them into technical solutions. - Develop and integrate APIs and microservices for seamless interaction between AI models and enterprise applications. - Fine-tune, evaluate, and optimize Large Language Models (LLMs) and Generative AI workflows. - Ensure AI solutions are scalable, reliable, secure, and production ready. - Participate in architecture discussions, code reviews, and technical design sessions. - Troubleshoot, monitor, and enhance deployed GenAI applications. - Stay current with advancements in Generative AI, Agentic AI, LLMs, multimodal AI, and emerging technologies. - Create and maintain technical documentation, architecture diagrams, and implementation guidelines. Qualifications - Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Engineering, or a related field. - 4+ years of software development experience with Python. - Hands-on experience developing and deploying AI/ML or Generative AI solutions on GCP. - Experience working with production-grade cloud applications and distributed systems. .
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