Top Tech Jobs & Startup Jobs in Chennai

Develop and publish Android applications using Java/Kotlin and Android SDK. Work with third-party libraries/APIs, follow mobile architectures and full development lifecycle. Must have Salesforce hands-on experience; experience with AI-enabled resource tracking or similar is a plus.

Develop and maintain backend applications using Python and Django. Architect and implement microservices, migrate monolithic systems to microservices, build RESTful APIs, optimize performance and security, collaborate with DevOps/frontend/QA, and troubleshoot production issues.

Deploy and productionize ML models on GCP Vertex AI for real-time and batch inference. Build scalable pipelines, perform feature engineering, monitor model performance and drift, support ML-Ops and governance, and collaborate with teams on retail banking (credit risk, marketing, customer service) use cases.

Lead development of GenAI and LLM-powered applications using Python, LangChain/LangGraph and FastAPI. Design scalable cloud-ready microservices, integrate LLMs (AWS Bedrock/OpenAI), implement prompt engineering, and build interactive frontends with Angular/JavaScript. Ensure AWS-based deployment and database integration (SQL/NoSQL).

Develop, maintain, and support cloud-based integration solutions using C# and .NET. Build and consume RESTful APIs, create serverless applications with Azure Functions, troubleshoot production issues during night shift, and collaborate with global teams on scalable, secure integration workflows.

Conduct outbound prospecting for the US market via cold calls, email and LinkedIn to generate qualified leads, engage C-level decision makers, schedule first‑level meetings, maintain strong outbound pipeline, use CRM and sales tools, and follow up to convert prospects.

Lead design and delivery of NLP and Generative AI solutions, from problem definition through deployment. Build and fine-tune transformers and LLMs for summarization, QA, classification and chatbots, apply classical and deep learning methods, ensure scalable reproducible ML workflows in cloud environments, mentor junior data scientists, and collaborate with product and engineering to translate business problems into AI solutions.

Optimize and tune complex T-SQL queries, troubleshoot blocking/deadlocks and IO bottlenecks, analyze execution plans, implement indexing/partitioning, maintain HA/DR (Always On, clustering, replication), monitor database health and automation, and collaborate with developers on schema and query design.

Lead architecture, design, and governance for enterprise-scale AI solutions on the ServiceNow platform, implementing Now Assist, Virtual Agent, Agentic AI, predictive and task intelligence, integrations, and AI governance frameworks.

Design, build, and maintain scalable web applications using the MERN stack and Next.js. Collaborate with cross-functional teams and designers to implement UI/UX, create reusable components, optimize performance across devices, manage and improve codebases, work with SQL databases, integrate RESTful APIs, and troubleshoot complex issues.