Top Software Engineer Jobs in Chennai

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

Build agentic AI applications using LLM tooling, RAG pipelines, vector databases, AI APIs, enterprise integrations, and evaluation frameworks. Develop agents, prompts, memory, observability, guardrails, tests, and CI/CD pipelines. Prototype rapidly, evolve solutions into production systems, communicate tradeoffs, and translate business needs into practical AI applications. Requires strong software engineering fundamentals, an AI project portfolio, and 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 and enhance custom software and agentic AI applications using Java, LLMs, RAG pipelines, vector databases, AI APIs, and enterprise integrations. Implement agents, prompts, memory, evaluation loops, observability, guardrails, testing, CI/CD pipelines, and robust error handling. Rapidly prototype solutions, evolve them into production systems, demonstrate AI projects, and communicate technical tradeoffs to stakeholders.

Develop and enhance scalable full-stack enterprise applications using Java and modern frontend frameworks. Use AgentAI copilots and LLM-based tools for coding, debugging, testing, documentation, and integration. Build backend and frontend components, integrate AI services and APIs, implement RAG features, and apply SDLC, agile, cloud-native, and CI/CD practices. Collaborate with architects and AI specialists to deliver high-quality solutions efficiently.

Build agentic AI applications and evolve rapid prototypes into production systems. Develop agents, prompts, planners, memory, evaluation loops, RAG pipelines, vector search, API integrations, testing, CI/CD, observability, guardrails, and safety controls. Integrate enterprise APIs, event streams, and data sources with robust error handling. Demonstrate AI experimentation through a visible portfolio, communicate trade-offs, and translate business needs into practical AI solutions.

Develop full-stack enterprise applications using Java and modern frameworks, with front-end and back-end integration. Use AgentAI copilots, LLM-based coding tools, and pre-built AI services to accelerate coding, testing, debugging, documentation, and delivery. Implement RAG features where relevant, integrate APIs, and apply scalable software engineering, SDLC, agile, cloud-native, and CI/CD practices while collaborating with architects and AI specialists.

Build production-oriented agentic AI applications using LLM tooling, RAG pipelines, vector databases, APIs, and evaluation frameworks. Develop agents, prompts, memory, integrations, tests, CI/CD pipelines, observability, guardrails, and safety controls. Rapidly prototype, demonstrate solutions, communicate tradeoffs, and translate business needs into practical AI systems. The role also requires Java full-stack development and strong software engineering fundamentals.

Develop and enhance full-stack enterprise applications using Java and modern frontend frameworks. Build scalable 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.

Develop scalable full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document backend and frontend components; incorporate AI-assisted development tools, pre-built AI services, APIs, and RAG features where appropriate. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, API, database, and CI/CD best practices.

Build agentic AI applications and evolve rapid prototypes into production systems. Develop agents, prompts, planners, memory, evaluation loops, RAG pipelines, vector database integrations, API connections, observability, guardrails, and CI/CD workflows. Write clean, tested code, implement safety evaluations, integrate enterprise data sources, and communicate technical tradeoffs. The role requires strong software engineering fundamentals, Java full-stack experience, hands-on LLM development, and a demonstrated AI project portfolio.

Leads the design, development, configuration, and enhancement of SAP-based applications, serving as a subject matter expert and primary point of contact. Collaborates with multiple teams, translates business requirements into technical specifications, oversees project progress, makes team decisions, resolves cross-team issues, supports SAP integrations, and facilitates knowledge sharing.

Develop full-stack enterprise applications using Java and modern frameworks, including frontend and backend components, APIs, databases, cloud-native technologies, and CI/CD pipelines. Use AI-assisted coding tools, LLM services, and RAG features to accelerate development, testing, debugging, documentation, and integration. Collaborate with architects and AI specialists to deliver scalable, high-quality software solutions.

Develop 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 to deliver scalable, reliable solutions using engineering best practices, SDLC processes, cloud-native technologies, APIs, databases, and CI/CD pipelines.

Develop and support healthcare analytics solutions using Power BI and Epic Cogito tools. Build dashboards, reports, semantic models, and data integrations for clinical, operational, and financial stakeholders. Apply DAX, Power Query, SQL, row-level security, performance optimization, data validation, and visualization best practices. Administer Power BI workspaces and translate healthcare requirements into scalable reporting solutions within Agile delivery environments.

Develop 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 SDLC, agile, quality, and cloud-native engineering practices.

Develop 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 development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, scalability, quality, and cloud-native engineering practices.

Develop full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document scalable software with AI-assisted development tools. Integrate AI services, APIs, and RAG features while applying SDLC, cloud-native, CI/CD, and engineering best practices. Collaborate with architects and AI specialists to accelerate delivery without compromising quality.

Design, develop, and optimize PySpark-based scalable data processing pipelines. Collaborate with cross-functional teams, maintain and enhance software components, document changes, troubleshoot production issues, and mentor junior engineers.

Develop scalable full-stack enterprise applications using Java and modern front-end frameworks. Build, integrate, test, debug, and document software with AI-assisted coding tools. Integrate AI services, APIs, and RAG features where relevant while applying SDLC, agile, quality, cloud-native, and CI/CD practices. Collaborate with architects and AI specialists to accelerate delivery without compromising engineering standards.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and apply software engineering, quality, compliance, and SDLC best practices. Collaborate with architects and AI specialists to improve delivery speed, scalability, testing, documentation, and integration.

Develop and enhance full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG features, and apply SDLC, agile, cloud-native, testing, and CI/CD practices. Use AI-assisted development tools for coding, debugging, documentation, and productivity while collaborating with architects and AI specialists to deliver scalable, reliable 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 features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, integration, and quality practices.

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

Develop and enhance full-stack enterprise applications using Java and modern frontend frameworks. Build scalable 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 following software engineering, SDLC, agile, cloud-native, and CI/CD practices.