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.

📌 Gen Ai+gcp Haryana
🏢 Quadrangle
📍 Haryana