Top Software Engineer Jobs in India

Build and ship production-ready software using AI-native engineering practices. Lead architecture and technical direction for SaaS products, oversee delivery, mentor engineers, collaborate with stakeholders, and drive innovation. Responsibilities include .NET full-stack development, cloud and DevOps initiatives, CI/CD, containerization, infrastructure as code, database architecture, security, AI and LLM integration, and translating innovation into business value.

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

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, 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 guide production-ready software using AI throughout the engineering lifecycle. Provide architectural direction, lead design sessions and code reviews, establish governance, improve system reliability and scalability, and mentor engineering teams. Develop .NET full-stack and microservices solutions, modernize cloud and DevOps practices, and apply LLMs and automation to improve productivity and business outcomes.

Develop and enhance scalable custom software solutions using .NET full-stack development, modern architecture, microservices, REST APIs, cloud, DevOps, and AI modernization. Provide architectural direction, lead design sessions, conduct code reviews, mentor developers, drive governance and platform convergence, and collaborate with product and engineering stakeholders to improve system reliability, scalability, and business impact.

Lead the design, development, testing, and support of production-ready AI-native software and scalable Java web services. Establish technical direction, improve code quality, conduct architecture and code reviews, investigate technologies, and guide cloud, DevOps, and AI modernization initiatives. Mentor developers, collaborate cross-functionally, resolve technical issues, and translate AI, automation, and LLM capabilities into business and productivity improvements.

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

Build and ship production-ready agentic AI applications using LLMs, RAG pipelines, vector search, AI APIs, enterprise integrations, and evaluation tooling. Develop clean, testable software, CI/CD pipelines, observability, guardrails, safety tests, and robust error handling. Rapidly prototype solutions, evolve them into production systems, demonstrate AI project experimentation, and communicate technical tradeoffs to stakeholders.

Build and ship production-ready agentic AI applications using LLM tooling, RAG pipelines, vector search, enterprise API integrations, and evaluation frameworks. Develop clean, testable software, CI/CD pipelines, observability, guardrails, safety controls, and robust integrations. Rapidly prototype, demonstrate, iterate, and communicate technical tradeoffs while evolving solutions into scalable production systems.

Leads software architecture and engineering teams in building AI-enabled, production-ready systems. Provides architectural direction, technical governance, design specifications, code reviews, mentoring, and recommendations for reliability, scalability, platform convergence, and application improvement. Collaborates with product managers, stakeholders, executives, and development teams while driving cloud, DevOps, AI modernization, microservices, REST API, and multi-cloud 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 engineering best practices for quality, scalability, compliance, testing, and documentation. Collaborate with architects and AI specialists while using Java full-stack development, cloud-native technologies, APIs, databases, and CI/CD pipelines to accelerate software delivery.

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 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, debugging, testing, documentation, and integration.

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, testing, and continuous improvement. Collaborate with architects and AI specialists while using copilots and LLM coding assistants to accelerate delivery.

Design and lead software architecture across engineering teams, including technical specifications, architectural governance, platform convergence, reliability, scalability, and system enhancements. Mentor developers, lead design sessions, conduct code reviews, and guide delivery of product features. Apply modern languages, microservices, REST APIs, cloud, DevOps, infrastructure as code, AI modernization, and security architecture to improve software quality and business outcomes.

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

Leads architectural direction for engineering teams while designing and delivering scalable, reliable software. The role includes technical governance, design specifications, platform convergence, code reviews, mentoring, cloud and AI modernization, microservices and REST API development, DevOps, infrastructure as code, and translating LLM innovation into business impact.

Leads the design, development, and delivery of production-ready SaaS software using AI-native engineering practices. Provides technical direction, oversees complex projects, mentors engineers, establishes architecture and technology choices, and collaborates with product and business stakeholders. Requires expertise in .NET full-stack development, cloud platforms, DevOps, CI/CD, containers, infrastructure as code, databases, security, AI modernization, and LLM-enabled engineering workflows.

Build and ship production-ready software using AI-native engineering practices. Provide architectural direction, lead design sessions, conduct code reviews, drive architectural governance, and mentor development teams. Design scalable systems and microservices, develop REST APIs, support cloud and DevOps modernization, and improve reliability, security, and engineering processes. Collaborate with product managers, stakeholders, and executive leadership to translate technical and AI innovation into business impact.

Design and deliver enterprise-grade full-stack applications using Java and AI-assisted development tools. Architect front-end and back-end solutions, integrate LLM services, RAG, conversational APIs, and copilots, and ensure security, compliance, scalability, and reliability. Collaborate with traditional engineering and AI-native teams to improve software delivery. The role focuses on AI integration and engineering productivity rather than model training or MLOps.

Build and ship production-ready software using AI-native engineering practices. Provide architectural direction, design scalable and reliable systems, lead technical design sessions, conduct code reviews, mentor engineers, and drive architectural governance. Develop .NET full-stack solutions using microservices, REST APIs, cloud, DevOps, infrastructure as code, and AI modernization approaches. Collaborate with product, engineering, and executive stakeholders to improve delivery, platform convergence, quality, security, and business impact.

Build and ship production-ready software using AI-native engineering practices. Lead architecture and technical direction for SaaS products, oversee delivery, mentor engineers, collaborate with stakeholders, and drive cloud, DevOps, automation, and AI modernization initiatives. The role requires .NET full-stack development, cloud platforms, CI/CD, containerization, infrastructure as code, database expertise, security practices, and strong technical leadership.

Leads the design, development, and delivery of production-ready SaaS software using .NET and AI-native engineering practices. Provides technical direction, architecture guidance, project oversight, mentorship, and stakeholder collaboration. Requires expertise in cloud platforms, DevOps, CI/CD, containers, infrastructure as code, databases, security, and software design. The role also drives AI modernization, automation, LLM adoption, product ownership, and innovation across engineering teams.

Lead and contribute to the design, development, and delivery of production-ready SaaS software using AI-native engineering practices. Provide technical direction, architecture guidance, project oversight, and mentorship while collaborating with product and business stakeholders. Build .NET full-stack solutions, cloud platforms, CI/CD pipelines, containerized services, and infrastructure as code. Drive AI modernization, automation, quality, security, and compliance initiatives while translating AI capabilities into measurable business and productivity outcomes.

Build and ship production-ready AI-enabled software using .NET full-stack development. Provide architectural direction, lead technical design and governance, mentor engineers, conduct code reviews, and improve system reliability, scalability, and quality. Collaborate with product and engineering stakeholders on modernization, microservices, REST APIs, cloud, DevOps, and AI initiatives. Translate AI innovation into business impact while supporting continuous delivery and platform convergence.

Leads architecture and software engineering initiatives while building production-ready AI-enabled applications. Provides technical direction, conducts design reviews and code reviews, drives architectural governance, improves system reliability and scalability, mentors developers, and collaborates with product and engineering stakeholders. The role requires extensive .NET full-stack development, cloud and DevOps modernization, microservices, REST APIs, infrastructure as code, and applying LLMs and automation to improve software delivery.