- 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 (Gurugram)
🏢 Quadrangle
📍 Gurugram