Top Software Engineer Jobs in Chennai

As a Senior Software Engineer, you will design and deliver backend components in C++, optimize systems, and collaborate with global teams to ensure project success.

Engineer and maintain secure, high-performance software, scripts, tools, and IAM solutions across the full development lifecycle. Responsibilities include requirements analysis, architecture, coding, testing, deployment, operations, maintenance, and decommissioning. The role collaborates with engineers, architects, business analysts, and cross-functional Agile teams while delivering IAM integrations and troubleshooting authentication and access-management issues using PingFederate, PingAccess, OAuth, OIDC, SAML, SSO, and federation technologies.

Build enterprise agentic AI applications using LLMs, RAG pipelines, vector databases, prompts, tools, memory, evaluation loops, and API integrations. Develop clean, testable software, CI/CD pipelines, observability, guardrails, and safety evaluations. Prototype rapidly, integrate enterprise systems and data sources, and communicate technical tradeoffs with stakeholders. The role requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Build enterprise agentic AI applications using LLM tooling, RAG pipelines, vector databases, API integrations, agents, prompts, memory, evaluation loops, and safety controls. Develop clean, tested software and CI/CD pipelines, integrate enterprise data sources and event streams, add observability and guardrails, and rapidly prototype solutions that evolve into production systems. Requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Build and enhance enterprise software and agentic AI applications using Java and modern development practices. Develop LLM tools, RAG pipelines, vector search, API integrations, evaluation loops, and safety controls. Create rapid prototypes that evolve into production systems, with testing, observability, CI/CD, error handling, and stakeholder communication. Requires at least 7.5 years of Java full stack development experience and hands-on experience with AI technologies.

Develop custom software and agentic AI applications using Java, LLMs, RAG pipelines, vector databases, AI APIs, and enterprise integrations. Build agents, prompts, memory, evaluation loops, APIs, ingestion and indexing services, tests, CI/CD pipelines, observability, and safety guardrails. Rapidly prototype, demonstrate solutions, integrate data sources and event streams, and communicate technical tradeoffs. The role requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Build agentic AI applications and enterprise software using LLM tooling, RAG pipelines, vector databases, API integrations, agents, prompts, evaluation loops, and safety controls. Develop scalable, testable systems with observability, guardrails, CI/CD, robust error handling, and integrations with enterprise data sources. Rapidly prototype, demonstrate solutions, iterate based on feedback, and communicate technical tradeoffs. The role requires at least 7.5 years of Java full-stack development experience and a portfolio of AI projects.

Develop enterprise-grade agentic AI applications using LLMs, RAG pipelines, vector databases, AI APIs, and enterprise integrations. Build agents, prompts, memory, evaluation loops, observability, guardrails, and CI/CD pipelines. Deliver prototypes that evolve into production systems through hands-on coding, testing, demonstrations, and rapid iteration. The role requires strong software engineering fundamentals, Java full-stack experience, practical AI project experience, and the ability to translate business needs into scalable AI solutions.

Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate REST or GraphQL APIs and pre-built AI services, and implement RAG features where relevant. Use AI-assisted coding, debugging, testing, and documentation tools while following engineering, SDLC, agile, quality, and CI/CD best practices. Collaborate with architects and AI specialists to deliver high-performing solutions.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG-based features, and use AgentAI copilots and LLM tools for coding, debugging, testing, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, and CI/CD practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Use AI copilots, LLM-based coding assistants, and pre-built AI services to accelerate coding, testing, debugging, documentation, and integration. Build REST or GraphQL APIs, implement relevant RAG features, and follow enterprise SDLC, cloud-native, and CI/CD practices while collaborating with architects and AI specialists.

Develop scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate AI services and APIs, implement RAG-based features, and use AgentAI copilots and LLM tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following software engineering, SDLC, agile, quality, and CI/CD best practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate AI services and APIs, implement RAG-based features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following engineering, SDLC, agile, quality, and CI/CD practices.

Develop enterprise software and agentic AI applications using Java, LLMs, RAG pipelines, vector databases, AI APIs, and modern frameworks. Build agents, prompts, memory, evaluation loops, integrations, testing, CI/CD pipelines, observability, guardrails, and safety controls. Prototype rapidly, evolve solutions into production systems, and communicate technical tradeoffs to stakeholders. Requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following software engineering, SDLC, agile, quality, and CI/CD practices.

Build agentic AI applications and evolve rapid prototypes into production systems. Develop LLM tools, agents, prompts, RAG pipelines, vector search, API integrations, evaluation loops, guardrails, and observability. Write clean, tested code and CI/CD pipelines, integrate enterprise data sources and event streams, and ensure robust error handling and safety. Collaborate with stakeholders, demonstrate solutions, communicate tradeoffs, and translate business needs into practical AI applications.

Develop and enhance full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted tools for coding, testing, debugging, and documentation. Deliver scalable, high-performing software through agile practices, SDLC best practices, cloud-native development, and CI/CD. Collaborate with architects and AI specialists to ensure quality and effective integration.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate AI services and APIs, implement RAG features, and use AI-assisted coding tools to accelerate delivery. Collaborate with architects and AI specialists while maintaining engineering quality, testing, documentation, and integration standards.

Develop and enhance scalable enterprise full-stack applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, API, database, and CI/CD practices. Deliver high-quality solutions with at least 7.5 years of Java full-stack development experience.

Build and integrate agentic AI applications using LLM tooling, RAG pipelines, vector databases, APIs, agents, prompts, evaluation loops, and safety controls. Develop clean, testable software, CI/CD pipelines, enterprise integrations, observability, and guardrails. Prototype rapidly, demonstrate solutions, evaluate quality, and communicate technical tradeoffs. The role requires strong Java full-stack development experience, hands-on AI application development, and a portfolio of AI projects.

Build agentic AI applications using LLM tooling, RAG pipelines, vector databases, AI APIs, and enterprise integrations. Develop agents, prompts, memory, evaluation loops, and production services with strong testing, observability, guardrails, and CI/CD. Rapidly prototype and iterate on end-to-end solutions while communicating tradeoffs to stakeholders. The role requires strong software engineering fundamentals, Java full-stack experience, proficiency in multiple programming languages, and a demonstrated portfolio of AI projects.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following engineering, SDLC, agile, quality, and CI/CD best practices.

Build agentic AI applications using LLM tooling, RAG pipelines, vector databases, APIs, and enterprise integrations. Develop agents, prompts, memory, evaluation loops, testing, CI/CD, observability, and safety guardrails. Rapidly prototype solutions, evolve them into production systems, communicate trade-offs, and translate business needs into practical AI applications. Requires strong software engineering fundamentals, hands-on AI experience, a visible AI project portfolio, and at least 7.5 years of Java full-stack development experience.

Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Build backend and frontend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, debugging, testing, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, and CI/CD practices.

Build agentic AI applications using LLM tooling, RAG pipelines, vector databases, APIs, agents, prompts, evaluation loops, and observability. Develop production-quality integrations with enterprise systems and data sources, implement testing and safety controls, and rapidly prototype solutions. The role requires strong software engineering fundamentals, hands-on AI application experience, clear stakeholder communication, and at least 7.5 years of Java full-stack development experience.