Required Technical Skills

- Strong hands-on experience with Google Cloud Platform (GCP)
- Proven experience building AI agents using Google Agent Development Kit (ADK)
- Expertise in Retrieval-Augmented Generation (RAG) architectures
- Deep knowledge of Vertex AI, including:
- Gemini models
- Model Garden
- Vertex AI Search
- Vertex AI Agent Builder
- Prompt Engineering
- Fine-tuning and evaluation

- Robust Python development skills
- Experience with vector databases:

- Vertex AI Vector Search
- Pinecone
- Weaviate
- ChromaDB
- Bigquery

- Experience integrating AI solutions through APIs and microservices
- Knowledge of MCP implementation
- Understanding of MLOps, CI/CD, and cloud-native architecture

Key Responsibilities

- Design and develop enterprise-scale Agentic AI solutions using Google ADK and Vertex AI.




- Build and optimize RAG pipelines for enterprise knowledge retrieval.
- Develop multi-agent workflows and autonomous decision-making systems.
- Integrate LLMs, vector databases, and enterprise systems.
- Implement monitoring, evaluation, security, and governance for AI applications.
- Collaborate with architects and business stakeholders to define AI solutions.

Ideal Experience

- 8+ years of software development experience
- 3+ years in Generative AI/LLM solutions
- 2+ years of hands-on Vertex AI implementation
- Experience delivering production-grade AI applications on GCP.

📌 AI Engineer (Pune)
🏢 Infinityquest It Services
📍 Pune