Top Tech Jobs & Startup Jobs in Chennai

Develop, modernize, and maintain Java/J2EE applications using JDK 17, Spring Boot, microservices, REST APIs, Kafka, and Redis. Configure database connectivity with JDBC and Spring, write Oracle SQL queries, and support application and middleware platforms. Use Maven and Git for build automation and version control, apply software design patterns, troubleshoot systems, and collaborate on application migrations. AWS deployment experience and related certifications are preferred.

Design, build, and maintain scalable ETL/ELT pipelines and Snowflake data warehouse solutions using dbt, SQL, and Python. Develop data models, transformations, stored procedures, and database objects; optimize performance; implement ingestion, validation, governance, and data quality practices; and troubleshoot data issues. Collaborate with stakeholders and engineering teams while contributing to testing, deployment, code reviews, documentation, and analytics enablement.

Lead end-to-end migration of Azure Synapse Analytics environments to Microsoft Fabric, including strategy, execution, validation, cutover, tuning, and optimization. Build and optimize ETL pipelines with Azure Data Factory and Databricks; design modern data warehouses using SQL Server, ADLS Gen2, Cosmos DB, and Blob Storage. Ensure data governance, lineage, security, compliance, monitoring, and integrity using Purview and Azure Monitor. Document architecture and best practices while collaborating with cross-functional teams.

Lead design, development, and deployment of multi-agent, memory-augmented AI systems using LangGraph and LLM orchestration. Build scalable agent architectures, implement knowledge graphs and vector DBs (Pinecone/Weaviate/FAISS), apply RAG and RLHF/RLAIF, optimize production workflows, run PoCs demonstrating business impact, and mentor AI engineers and data scientists.

Lead design, development, and deployment of multi-agent, agentic AI solutions using LangGraph, LLM orchestration, RAG, and RL-based fine-tuning. Build scalable architectures, integrate vector databases and knowledge graphs, run PoCs to demonstrate business impact, and mentor AI engineers and data scientists for production-grade autonomous agents.

Design and build full‑stack applications using React and Java. Develop microservices with Spring Boot, use Hibernate for persistence, integrate CI/CD and Docker, and work with MySQL/Oracle databases.

Lead research, design, and deployment of multi-agent, agentic AI systems using LangGraph and LLM orchestration. Build memory-augmented agents, implement RAG with vector DBs, apply RLHF/RLAIF, prototype PoCs, scale production architectures, and mentor AI engineers.