Top Software Engineer Jobs in Bangalore

Develop and enhance custom software applications using Node.js, modern frameworks, and agile practices. Design RESTful APIs, integrate SQL and NoSQL databases, write maintainable code, and deliver scalable solutions. Serve as a subject matter expert, guide team decisions, coordinate cross-functional stakeholders, implement best practices, solve complex problems, and mentor junior engineers.

Develop and enhance custom software components using Microsoft Azure Analytics Services, modern frameworks, and agile practices. Design scalable solutions, integrate cloud-based analytics, perform testing and optimization, troubleshoot technical issues, document development processes, and collaborate with cross-functional teams. The role also involves contributing to technical discussions, independently solving problems, and supporting junior team members.

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

Develop custom Java full-stack software and agentic AI applications. Build LLM agents, prompts, RAG pipelines, vector search services, API integrations, evaluation loops, testing, CI/CD pipelines, observability, and safety guardrails. Prototype rapidly, integrate enterprise systems and data sources, and communicate technical trade-offs with stakeholders. The role requires strong software engineering fundamentals, hands-on AI development experience, a portfolio of AI projects, and at least 7.5 years of Java full-stack development experience.

Develop scalable enterprise full-stack applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG-based 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 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 enterprise engineering, SDLC, agile, cloud-native, and CI/CD best practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Use AgentAI copilots and LLM-based tools for coding, debugging, testing, documentation, and integration. Build AI-enabled features using pre-built services, APIs, and RAG where applicable. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, CI/CD, and software engineering best practices.

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

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

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

Develop scalable full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document backend and frontend components, APIs, databases, cloud-native services, and AI-powered features. Use AgentAI copilots and LLM-based tools to accelerate development while maintaining engineering quality. Collaborate with architects and AI specialists on application integration and delivery. Requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Develop custom Java full-stack software and agentic AI applications. Build LLM agents, RAG pipelines, vector search services, API integrations, evaluation loops, testing, observability, guardrails, and CI/CD pipelines. Rapidly prototype solutions, integrate enterprise systems and data sources, and communicate technical tradeoffs with stakeholders.

Develop custom Java full-stack software and agentic AI applications. Build LLM agents, RAG pipelines, vector-search services, API integrations, evaluation loops, testing, CI/CD pipelines, observability, and safety guardrails. Prototype rapidly, evolve solutions into production systems, and communicate technical tradeoffs with stakeholders. The role requires strong software engineering fundamentals, hands-on LLM and AI integration experience, an AI project portfolio, and at least 7.5 years of Java full-stack development experience.

Develop scalable enterprise full-stack applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document backend and frontend components, including AI services, APIs, and RAG-based features. Use AI-assisted development tools, agile practices, cloud-native technologies, and CI/CD pipelines while collaborating with architects and AI specialists.

Develop scalable enterprise full-stack applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document backend and frontend components; incorporate AI copilots, LLM-based coding tools, pre-built AI services, APIs, and RAG features. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, API integration, database, 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, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, CI/CD, and software engineering best practices. The role requires project financial management experience and 7.5 years of Java full-stack development experience.

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

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 coding tools for development, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, API, database, and CI/CD practices. The role requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Develop scalable full-stack enterprise applications using Java and modern front-end frameworks. Build, integrate, test, debug, and document software components across systems. Use AI-assisted development tools, LLM services, and RAG features to accelerate delivery while maintaining engineering quality. Collaborate with architects and AI specialists, and apply enterprise SDLC, cloud-native development, API integration, SQL or NoSQL, and CI/CD practices.

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 coding tools to accelerate delivery. Apply software engineering, SDLC, testing, debugging, documentation, cloud-native development, and CI/CD practices while collaborating with architects and AI specialists to deliver scalable, high-quality solutions.

Develop full-stack enterprise applications using Java and modern frontend frameworks. Build scalable backend and frontend components, integrate REST or GraphQL APIs and AI services, 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 practices.

Develop full-stack enterprise applications using Java and modern frameworks, including front-end and back-end components, APIs, databases, cloud-native technologies, and CI/CD pipelines. Use AgentAI copilots and LLM-based tools for coding, debugging, testing, documentation, and integration. Implement AI services and RAG features where appropriate while collaborating with architects and AI specialists to deliver scalable, high-quality solutions.

Develop and enhance full-stack enterprise applications using Java, modern frameworks, agile practices, and AI-assisted development tools. Build front-end and back-end components, integrate APIs and AI services, implement RAG features, and deliver scalable, high-quality software through collaboration with architects and AI specialists.

Develop full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document scalable software components, including AI services and RAG-based features. Use AgentAI copilots and LLM coding tools to accelerate delivery while maintaining engineering quality. Collaborate with architects and AI specialists on integrations, APIs, cloud-native development, and CI/CD practices.