Top Software Engineer Jobs in India

Design, build, configure, test, and deploy SAP-based applications and AI-driven workflows. Translate business requirements into technical solutions, integrate SAP MM with other modules, and optimize application performance. Serve as a subject matter expert, manage team decisions, collaborate across technical and customer teams, monitor project progress, and facilitate knowledge sharing. The role also requires driving Agentic AI adoption within SAP environments and communicating solutions effectively to clients.

Design, build, configure, and implement SAP FI S/4HANA applications aligned with business requirements. Translate financial processes into technical solutions, integrate SAP modules and third-party applications, and support SAP AI and Agentic AI workflows. Lead teams, make technical decisions, monitor project progress, facilitate knowledge sharing, and collaborate with cross-functional teams to improve solution quality, performance, and adoption.

Design, build, test, deploy, and support cloud-native SAP BTP applications using CAP, Node.js or Java, Fiori/UI5, CDS, OData, and SAP HANA Cloud. Develop secure services, event-driven integrations, workflows, and low-code applications while managing MTA deployments, CI/CD, authorization, connectivity, and production troubleshooting. Translate SAP business processes into AI-driven workflows and collaborate with architects, functional consultants, integration teams, and customers to deliver scalable solutions.

Design and deliver enterprise SAP Generative and Agentic AI solutions on SAP BTP. Architect RAG and GraphRAG pipelines using AI Core, Generative AI Hub, HANA Cloud vector and knowledge graph capabilities, LLMs, and orchestration frameworks. Integrate AI into SAP applications with CAP, ensure governance, privacy, scalability, and observability, and lead deployment and optimization. Translate business processes into AI workflows, manage cross-functional delivery, mentor teams, and align solutions with measurable business outcomes.

Design and deliver enterprise SAP GenAI solutions using SAP BTP, AI Core, Generative AI Hub, HANA Cloud, LLMs, RAG, GraphRAG, and agentic AI frameworks. Build scalable Python applications, APIs, ETL pipelines, orchestration workflows, knowledge graphs, and vector-search solutions. Lead architecture, deployment, monitoring, optimization, governance, and responsible AI practices. Translate business processes into AI-powered outcomes, collaborate with cross-functional teams and clients, mentor team members, and manage AI-centric innovation programs.

Design, build, configure, test, and deploy applications within SAP landscapes and customer environments. Translate business processes into AI-driven workflows using Agentic AI and SAP AI services, integrate data and models, troubleshoot application issues, and optimize solutions in production. Collaborate with product, engineering, data, customer, and cross-functional teams; provide technical leadership, make team decisions, monitor project progress, and facilitate knowledge sharing.

Design, build, and configure software applications that support business processes and organizational objectives. Translate processes into AI-driven workflows using Agentic AI and SAP AI services, owning implementation from architecture and integration through testing and deployment. Collaborate with product, engineering, data, and customer teams, facilitate stakeholder workshops, solve cross-team problems, advise decision-makers, and mentor junior professionals. The role requires deep Signavio Process Intelligence expertise, strong analytical abilities, and effective communication with nontechnical stakeholders.

Design, build, configure, test, and deploy SAP applications supporting business processes. Lead end-to-end implementations involving SAP FI S/4HANA Accounting, integrations, AI-driven workflows, and SAP AI services. Serve as a subject matter expert, collaborate across teams, make technical decisions, manage project progress, translate business requirements into specifications, and support knowledge sharing, optimization, and client demonstrations.

Develop, code, test, debug, and enhance custom software components using Kinaxis, modern frameworks, and agile practices. Collaborate with cross-functional teams to gather requirements, design scalable solutions, document software, resolve technical challenges, and improve existing functionality. The role also involves independent work, subject matter expertise, team participation, and mentoring junior team members.

Design and lead enterprise SAP Generative and Agentic AI solutions across architecture, development, deployment, and optimization. Build RAG and GraphRAG pipelines using SAP BTP, AI Core, Generative AI Hub, HANA Cloud vector and graph capabilities, LLMs, Python, and orchestration frameworks. Translate business processes into scalable AI workflows, ensure governance and performance, collaborate with cross-functional teams, manage delivery, and mentor team members while aligning solutions to measurable business outcomes.

Develop and enhance custom software solutions using Kinaxis, modern development frameworks, and agile practices. Design scalable architectures, integrate components into enterprise systems, troubleshoot complex issues, and improve software quality. Act as a subject matter expert, lead team decisions, collaborate across multiple teams, mentor junior engineers, and drive process improvements. The role requires at least 7.5 years of Kinaxis experience and 15 years of full-time education.

Design, build, configure, test, and debug custom applications using SAP BTP to meet business and application requirements. Collaborate with stakeholders and multiple teams, make technical decisions, provide cross-team solutions, and manage delivery. Serve as a subject matter expert, mentor junior engineers, facilitate knowledge sharing, and ensure application integration, lifecycle management, and alignment with user needs.

Designs, develops, tests, operates, and maintains software products in support of digital transformation. The role requires full-stack ownership, production-ready code, scalable and reliable system designs, failure analysis, code reviews, and adherence to compliance and security standards. The engineer collaborates across product teams, communicates blockers, supports agile and DevOps practices, and contributes to continuous improvement and innovation.

Design, build, configure, test, and optimize applications tailored to business processes within SAP environments. Serve as a subject-matter expert, lead teams, make cross-team technical decisions, integrate SAP PP with other modules, and troubleshoot application issues. Translate business processes into AI-driven workflows using Agentic AI and SAP AI services, owning implementation from architecture and data integration through deployment. Collaborate with product, engineering, data, and customer teams while facilitating knowledge sharing and monitoring project alignment.

Lead the design, architecture, development, deployment, and optimization of enterprise SAP Generative and Agentic AI solutions. Build RAG and GraphRAG pipelines using SAP BTP, AI Core, HANA Cloud, LLMs, vector search, and knowledge graphs. Integrate AI into SAP applications with CAP, ensure scalability, compliance, responsible AI, and secure multitenant deployments, and collaborate with customers and cross-functional teams while mentoring engineers and managing delivery.

Develop and enhance custom software solutions within SAP landscapes, translating business requirements into scalable applications and AI-driven workflows. Lead end-to-end implementation across architecture, integration, development, testing, and deployment. Serve as a subject matter expert, collaborate across teams, guide technical decisions, mentor team members, and improve development processes. The role requires extensive SAP MM experience, agile methodology knowledge, systems integration skills, and the ability to communicate solutions effectively to clients.

Design, build, and configure applications using SAP Build Process Automation and AI-driven workflows. Translate business processes into scalable solutions, manage end-to-end implementation across SAP landscapes, collaborate with cross-functional teams, guide team members, provide technical solutions, facilitate knowledge sharing, and ensure timely project delivery. The role requires strong application design, process automation, requirements analysis, software development lifecycle, and agile expertise.

Design, build, configure, test, and deploy applications aligned with business processes and organizational goals. Collaborate with stakeholders and multiple teams, provide cross-team solutions, make technical decisions, assess system changes, troubleshoot application issues, and mentor team members. The role requires subject-matter expertise in SAP Business Data Cloud, data integration and management, application development methodologies, and cloud technologies.

Design and lead enterprise Generative AI and Agentic AI solutions within SAP environments. Architect SAP BTP pipelines using AI Core, Generative AI Hub, HANA Cloud, LLMs, RAG, GraphRAG, knowledge graphs, and orchestration frameworks. Own solution delivery from business requirements and data integration through deployment, monitoring, optimization, and governance. Collaborate with cross-functional and client teams, build cloud-native applications, mentor staff, manage projects, and communicate business value, scalability, compliance, and ROI.

Develop, design, code, and enhance scalable custom software components using modern frameworks and agile practices. Serve as a subject matter expert, manage team decisions, solve complex issues, improve processes, mentor junior engineers, and coordinate cross-functional delivery. The role requires substantial Kinaxis experience, software development lifecycle expertise, troubleshooting ability, and collaboration across multiple teams.

Design and deliver enterprise SAP Generative and Agentic AI solutions using SAP BTP, AI Core, Generative AI Hub, HANA Cloud, LLMs, RAG, GraphRAG, knowledge graphs, and orchestration frameworks. Build Python applications, APIs, ETL pipelines, and cloud-native integrations while ensuring scalability, security, compliance, responsible AI, and measurable business value. Lead architecture, deployment, monitoring, optimization, stakeholder collaboration, and team mentoring across AI-centric innovation programs.

Design, build, configure, and integrate SAP applications, primarily using SAP FSCM Credit Management. Collaborate with cross-functional teams, troubleshoot application issues, ensure solution quality, and support project decisions. Serve as a subject matter expert, manage team performance, facilitate knowledge sharing, monitor project progress, and translate business processes into AI-driven workflows using Agentic AI and SAP AI services.

Design, build, configure, test, and deploy SAP-based applications that meet business and process requirements. Serve as a subject matter expert, lead teams, make cross-functional decisions, monitor project progress, and provide scalable solutions. Translate business processes into AI-driven workflows using Agentic AI and SAP AI services, integrating data and models within SAP landscapes. Collaborate with product, engineering, data, and customer teams to improve solution quality and drive AI adoption.

Lead the design, architecture, and delivery of enterprise SAP Generative and Agentic AI solutions. Build RAG and GraphRAG pipelines using SAP BTP, AI Core, Generative AI Hub, HANA Cloud, LLMs, vector search, knowledge graphs, and orchestration frameworks. Integrate AI into SAP applications, ensure secure and compliant deployments, optimize production systems, manage cross-functional delivery, mentor teams, and translate business requirements into scalable AI solutions with measurable business outcomes.

Design, build, configure, and customize SAP applications, primarily using SAP Sales and Distribution. Translate business processes into AI-driven workflows, integrate SAP AI services, and manage end-to-end solution delivery across architecture, development, testing, and deployment. Lead teams, make technical decisions, troubleshoot application issues, monitor project progress, facilitate knowledge sharing, and collaborate with product, engineering, data, and customer teams.