Top Software Engineer Jobs in India

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 best practices for quality, scalability, compliance, and delivery speed. Collaborate with architects and AI specialists while using Java full-stack development, cloud-native technologies, APIs, databases, and CI/CD pipelines.

Build and ship production-ready full-stack enterprise software using AI-native development practices. Develop Java-based front-end and back-end components, integrate AI services and APIs, implement RAG features, and use LLM-powered coding tools for development, testing, debugging, and documentation. Ensure scalable, compliant, high-quality delivery while collaborating with architects and AI specialists.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and code reviews for scalable web services and distributed systems. Drive cloud, DevOps, and AI modernization initiatives across AWS and Azure, improve software quality, mentor developers, and collaborate with cross-functional teams. The role requires translating AI innovation into business impact while supporting mission-critical SaaS products and customer technical needs.

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 maintain scalable, compliant solutions. Collaborate with architects and AI specialists while using Java full-stack development, modern frontend frameworks, APIs, databases, cloud-native practices, and CI/CD pipelines to accelerate delivery without compromising quality.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply software engineering, SDLC, quality, compliance, and cloud-native practices. Collaborate with architects and AI specialists to accelerate coding, testing, debugging, documentation, and integration while maintaining robust and scalable solutions.

Develop scalable web applications, microservices, APIs, and backend services using Node.js and/or Java. Integrate third-party libraries, troubleshoot defects, and deliver secure, reliable solutions using cloud technologies, NoSQL databases, Docker, Kubernetes, and Azure. Collaborate with cross-functional teams as an independent contributor. The role requires working from the Hinjewadi client location in Pune three days per week, during a 2:00 PM to 10:30 PM shift.

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 best practices for quality, scalability, compliance, and rapid delivery. Collaborate with architects and AI specialists while using copilots and LLM tools for coding, debugging, testing, documentation, and integration.

Build and ship production-ready AI-native software using Java full-stack development. Responsibilities include designing, implementing, testing, debugging, and maintaining scalable web services and distributed systems; leading architecture and code reviews; improving system quality; supporting cloud, DevOps, and AI modernization initiatives; and mentoring engineers. The role requires collaboration across technical and business teams, strong communication, independent decision-making, and the ability to translate AI innovation into business impact.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and use copilots and LLM tools for coding, debugging, testing, and documentation. Apply software engineering, SDLC, quality, compliance, and cloud-native practices while collaborating with architects and AI specialists to accelerate delivery.

Leads the design, development, testing, and support of production-ready AI-native software and scalable web services. Provides technical direction, architecture and code reviews, documentation, mentoring, debugging, and continuous improvement. The role requires Java full-stack development, cloud and DevOps expertise, distributed systems experience, security awareness, testing knowledge, and the ability to translate AI and LLM innovations into business impact.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply software engineering, SDLC, quality, compliance, and cloud-native practices. Collaborate with architects and AI specialists to accelerate delivery while maintaining scalability and reliability.

Build and maintain production-ready Java full-stack software and scalable web services using AI-native engineering practices. Lead technical design, architecture, implementation, testing, debugging, code reviews, and quality improvements across cloud-based distributed systems. Collaborate with cross-functional teams, support customers, investigate technologies, mentor developers, and drive cloud, DevOps, AI modernization, automation, and LLM initiatives.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply software engineering best practices for quality, scalability, compliance, and rapid delivery. Collaborate with architects and AI specialists while using Java full-stack development, cloud-native technologies, APIs, and CI/CD pipelines.

Build and ship production-ready full-stack enterprise applications using AI-native development practices. Develop Java-based backend and frontend components, integrate AI services and APIs, implement RAG features, and use AgentAI copilots and LLM coding tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while maintaining scalability, quality, compliance, and delivery speed.

Design and deliver enterprise-grade full-stack applications using Java and AI-assisted development tools. Define scalable architectures, integrate AgentAI copilots, LLM-based services, RAG, conversational APIs, and cloud-native technologies. Lead front-end and back-end design, API and data-flow optimization, governance, security, performance, and responsible AI practices. Act as a bridge between traditional engineering teams and AI-native specialists while improving software development productivity without training ML models or owning MLOps.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply engineering best practices for quality, scalability, compliance, testing, and documentation. Collaborate with architects and AI specialists while using Java full-stack expertise and modern cloud-native technologies to accelerate software delivery.

Build and ship production-ready AI-native software, including agentic applications, LLM tooling, RAG pipelines, vector search, API integrations, evaluation loops, safety guardrails, and CI/CD pipelines. Develop and test rapid prototypes that evolve into reliable production systems, integrate enterprise data sources and event streams, and communicate tradeoffs with stakeholders. The role requires strong Java full-stack experience plus hands-on expertise with LLMs, RAG, vector databases, and AI APIs.

Build and ship production-ready full-stack enterprise applications using Java and AI-assisted development tools. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and use copilots and LLM tools for coding, testing, debugging, and documentation. Ensure scalable, reliable delivery through software engineering best practices, cloud-native development, CI/CD, and collaboration with architects and AI specialists.

Build production-ready agentic AI applications using LLMs, RAG pipelines, vector databases, AI APIs, enterprise integrations, and evaluation tooling. Develop agents, prompts, memory, planners, testing, CI/CD, observability, safety guardrails, and robust API integrations. Rapidly prototype, demonstrate, iterate, and communicate trade-offs with stakeholders. The role requires at least three years of Java full-stack development experience, strong software engineering fundamentals, practical AI project experience, and 15 years of full-time education.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply software engineering best practices for quality, scalability, compliance, and rapid delivery. Collaborate with architects and AI specialists while using Java full-stack development, cloud-native technologies, APIs, and CI/CD pipelines.

Build production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and deliver scalable software using engineering best practices. Collaborate with architects and AI specialists while maintaining quality, compliance, and delivery speed. The role requires Java full-stack development experience, knowledge of enterprise SDLC workflows, AI-assisted coding tools, and practical AI integration concepts.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and use Java or other backend technologies with modern frontend frameworks. Apply software engineering best practices, CI/CD, cloud-native development, testing, documentation, and compliance while collaborating with architects and AI specialists.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools, including AgentAI copilots and LLM coding assistants. Develop front-end and back-end components, integrate AI services and APIs, implement RAG features, and apply engineering best practices for quality, scalability, compliance, and rapid delivery. Collaborate with architects and AI specialists to support AI-native software development.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop frontend and backend components, integrate AI services and APIs, implement RAG features, and apply software engineering best practices for quality, scalability, compliance, and delivery speed. Collaborate with architects and AI specialists while using copilots and LLM-based tools for coding, testing, debugging, documentation, and integration.

Build and architect enterprise-grade full-stack applications using Java and AI-native development practices. Integrate AgentAI copilots, LLM-based tools, RAG, conversational APIs, and pre-built AI services into scalable solutions. Design frontend and backend systems, APIs, data flows, and cloud-native architectures while maintaining security, compliance, reliability, and responsible AI guardrails. Collaborate with traditional engineering teams and AI-native specialists to improve software development productivity. The role does not involve training models or owning MLOps.