Top Tech Jobs & Startup Jobs in Chennai

Design, build, and maintain high-performance React/Next.js web applications with TypeScript. Implement SSR/SSG/ISR, reusable components, state management, API integration, accessibility, performance optimization, and automated tests while collaborating with design, QA, DevOps, and backend teams in Agile.

Own and scale documentation for an Agentic AI platform: write API docs (OpenAPI/Swagger), developer and integration guides, release notes, and architecture docs. Translate AI/ML and system concepts for developers and enterprise users, set documentation standards, collaborate with Engineering/Product/DevOps, and iterate based on product updates and user feedback.

Develop and maintain Python-based solutions for generative AI and NLP tasks, including LLM fine-tuning, prompt engineering, embeddings, vector DBs, REST APIs, Docker, and cloud deployments using PyTorch/TensorFlow/JAX and frameworks like Hugging Face, LangChain, or OpenAI.

Lead Appian development and deliver end-to-end solutions. Design and implement Appian process models, SAIL interfaces, CDTs, integrations, and back-end services using Java/J2EE, Spring, ORM, REST/SOAP, and SQL. Work within Agile teams and leverage cloud platforms (AWS/Azure).

Senior Software Engineer responsible for ETL and database testing using ICDEQ. Design and execute test cases, validate data pipelines, log defects, and collaborate with development teams. Familiarity with Java or Python is a plus.

Lead Appian application development, integrations, deployments and platform infrastructure. Act as SME and coach, troubleshoot and implement solutions, and support CI/CD pipelines and Agile delivery for scalable enterprise applications.

Design, develop, test, and deploy high-performance Spark/Scala data processing applications and ETL pipelines on Cloudera (CDH). Optimize Spark and Cloudera platform performance, integrate HDFS/Hive/Impala/HBase/Kafka, ensure data integrity/security, and implement version control and CI/CD for production pipelines.

Design, fine-tune, and deploy generative AI models (LLMs, diffusion, VAEs). Build data pipelines and APIs, integrate AI into production, optimize model performance and latency, and collaborate with cross-functional teams to deliver AI-powered solutions.

Design, develop and support Tableau implementations and dashboards. Analyze data using SQL/Oracle, troubleshoot issues, automate processes, identify compliance/operational risks, collaborate with agile teams, and own delivery from requirements through deployment. Requires strong communication, time management, and typically 5+ years' experience.

Lead middleware support: install, configure, upgrade and maintain Oracle WebLogic/Fusion Middleware, SOA/OSB, manage deployments, monitoring (Prometheus, AppDynamics), troubleshooting (thread/head dumps), scripting (WLST/shell), change/incidents handling, on-call support, and work with DevOps/cloud tools.