Experience: 2–4 Years (GenAI & RAG Development + Agentic AI Experience)

Key Responsibilities:
- Design, build, and deploy intelligent AI agents using agentic frameworks.
- Develop RAG pipelines integrating vector databases and context-driven prompting strategies.
- Utilize the Gemini SDK to create LLM-powered applications and conversational interfaces.
- Collaborate cross-functionally with workflow orchestration and application development teams to deliver scalable AI solutions in production.
- Optimize agent performance and ensure robustness in real-world environments.

Requirements
Requirements:
- 2–4 years of proven experience in GenAI and RAG application development.
- Strong hands-on expertise with GCP’s AI/ML stack.
- ADK (Agent Developer Kit)
- Gemini SDK
- Agent space
- Experience with vector databases such as Vertex AI Search, Pinecone, or FAISS.
- Solid proficiency in Python for building and integrating AI pipelines.
- Familiarity with frameworks like Lang Chain is a plus.
- Solid understanding of prompt engineering, agent orchestration, and tool usage.
- Exposure to cloud-native deployments such as Cloud Run, Vertex AI, or Firebase Functions.

📌 Agentic AI Developer (Kolkata)
🏢 Gwcdata.Ai
📍 Kolkata