Java Springboot with AI

Chennai / Hyderabad

5+ years of experience

***Face To Face Interview in Chennai and Hyderabad on 22nd of Aug***
- Programming Skills
- Solid proficiency in Python, Java, Springboot, Microservices, C#
- SQL, Vector Databases
- Hands-on experience with at least one machine learning framework and related AI development libraries.
- LLM Application Development (OpenAI, Anthropic, Gemini)
- Hands-on experience building production-grade applications using Large Language Models (LLMs).
- Strong understanding of prompt engineering, context management, function calling, streaming, and evaluation techniques.
- Familiarity with OpenAI API, Anthropic SDK, Gemini SDK, and their respective capabilities, limitations, and cost considerations.
- RAG (Retrieval-Augmented Generation) Pipeline Design
- Experience designing, implementing, and optimizing RAG-based solutions.
- Proficiency with frameworks such as LangChain and vector databases.
- Knowledge of chunking strategies,



embedding model selection, retrieval optimization, and evaluation of retrieval quality.
- Agentic AI & Multi-Agent Orchestration
- Practical experience building autonomous AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, and CrewAI.
- Ability to design workflows where agents invoke tools, collaborate, delegate tasks, and execute multi-step processes.
- Understanding of production challenges such as hallucinated tool calls, infinite loops, non-deterministic outputs, and reliability concerns.
- MLOps & AI Observability
- Experience implementing monitoring and observability for AI systems.
- Ability to track model performance, output quality, latency, accuracy, and drift.
- Hands-on experience with AI system monitoring, alerting, and continuous improvement practices.

📌 Java Springboot with AI (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad