Top Tech Jobs & Startup Jobs in Chennai

Supports payroll and billing audits, generates accurate client bills from cost reports, manages billing reports, investigates discrepancies, processes credit memos and adjustments, and assists with month-end and quarter-end close. The role requires careful handling of confidential client information, strong attention to detail, and the ability to manage high-volume, time-sensitive work in a fast-paced global organization.

Build data infrastructure and reliable pipelines, analyze product usage, train traditional and LLM-based models, define product metrics, run experiments, and translate findings into product and go-to-market decisions. The role combines data science, data engineering, product analytics, machine learning, and stakeholder communication, with ownership across data modeling, evaluation, experimentation, and product insight generation.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Design and drive the target-state architecture for a Databricks-native data platform. Define scalable ingestion, governance, security, analytics, and reliability standards while delivering hands-on proofs of concept with SQL, PySpark, and Python. Partner with product, operations, and engineering teams to align platform investments with business needs, reduce technical debt and total cost of ownership, mentor engineers, evaluate technologies, and support AI-powered development and data analytics capabilities.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.