Role & Responsibilities :

- Hands-on experience with GenAI, Gemini, or open-source LLMs, including developing GenAI applications for code translation, text extraction, summarization, and SDLC optimization.

- Hands-on experience with AI agents, chatbots, RAG (Retrieval-Augmented Generation), and vector databases such as PGVector or ChromaDB.

- Hands-on experience with GenAI performance evaluation tools such as Pegasus, Ragas, and DeepEval.

- Build conversational interfaces using React JS or other frontend technologies, and develop and deploy agentic AI solutions using LangGraph and Google ADK (Agent Development Kit), with knowledge of A2A and MCP (Model Context Protocol).

- Strong Python programming skills and proficiency in Google Cloud Platform (GCP), with experience using LangChain, LangGraph, and LangSmith; TypeScript experience is preferred.

- Strong understanding of LLMs, prompt engineering, and graph-based workflows.

- Experience implementing input and output guardrails to address hallucinations, PII filtering, HAP, bias, and related risks.

- Experience implementing infrastructure security best practices and compliance protocols, including strategies for traffic spikes, denial-of-wallet attacks, DDoS attacks, and spike arrest.

- Knowledge of API gateways and Istio, with the ability to diagnose and intercept failures in end-to-end communication.

- Hands-on experience with API development and microservices architecture.