Top Tech Jobs & Startup Jobs in Chennai

Conduct outbound cold calls, email, and LinkedIn campaigns to North American prospects. Pitch consulting and digital engineering services, engage decision-makers, qualify opportunities, schedule calls, follow up with interested prospects, coordinate pre-sales discussions with technical teams, and document activities in Salesforce. The role requires international inside sales experience, strong English communication, online research skills, and the ability to work in a high-volume environment.

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Design and implement an end-to-end QA automation framework for Microsoft Fabric data platforms. Validate Medallion Architecture layers, pipelines, schemas, data quality, reconciliations, Power BI semantic models, reports, and AI agents. Build regression suites using SQL, Python, PySpark, Playwright, and TypeScript; investigate root causes; monitor observability metrics; configure alerts; and integrate automated checks into Azure DevOps or other CI/CD systems. Collaborate with data engineering, BI, AI, and DevOps teams.

Designs and maintains scalable Playwright and TypeScript automation for responsive, data-intensive web applications. Covers functional, integration, contract, end-to-end, reliability, security, accessibility, performance, and cross-browser testing. The role validates complex UI behavior, large datasets, rendering, network performance, and responsiveness while diagnosing issues through developer tools and telemetry. It also promotes quality across the development lifecycle and uses AI-assisted tools to improve test design and maintenance.

Design and develop scalable automated tests for server-side applications, REST APIs, microservices, integrations, asynchronous workflows, and Azure-based systems. Build functional, integration, contract, end-to-end, reliability, and API security coverage using Playwright with TypeScript or C#. Integrate quality gates into CI/CD and Docker deployments, validate data contracts and event-driven workflows, and collaborate with developers to shift quality left. Use AI-assisted tools to improve test design, debugging, and refactoring.

Design and deploy enterprise GenAI and agentic workflow platforms for pharmaceutical and life sciences applications. Build multi-agent systems, RAG pipelines, AWS Bedrock integrations, governed AI workflows, Python/FastAPI microservices, React applications, databases, and cloud infrastructure. Implement security, compliance, auditability, automated testing, and production deployment across healthcare-focused systems.

Architects and deploys production-grade agentic AI and multi-agent systems using LLMs, RAG, vector databases, prompt engineering, and NLP. Designs autonomous workflows, tool calling, memory, routing, evaluation, observability, and guardrails. Builds backend APIs and microservices while implementing testing for model drift, prompt regression, and agent reliability. Requires advanced Python, hands-on production Generative AI experience, and expertise with agent orchestration frameworks and vector search.

Lead DevOps Engineer responsible for building AWS development, testing, and production environments; creating CI/CD pipelines; managing infrastructure as code, secrets, IAM, networking, API gateways, observability, monitoring, and alerting. The role also develops runbooks, rollback plans, deployment documentation, and operational handover materials while supporting production releases under enterprise change-control and cloud-governance processes.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Develop and maintain Oracle APEX applications, Oracle Analytics Server/OBIEE reporting solutions, BI Publisher reports, and Oracle database objects. Build dashboards, workflows, integrations, REST APIs, and data models; write complex SQL and PL/SQL; troubleshoot and tune application and database performance; support deployments, testing, production issues, documentation, and stakeholder collaboration.