Java Springboot with AI

Chennai / Hyderabad

5+ years of experience

Face To Face Interview in Chennai and Hyderabad on 22nd of Aug
Programming Skills
Robust 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).
Solid 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.

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