Lead Full Stack Engineer

Accountabilities:

• • Design, build, and integrate scalable full-stack solutions using modern front-end and back-end frameworks, cloud-native architectures, APIs, microservices, and AI technologies.
  • Develop AI-enabled applications and user experiences that integrate advanced AI capabilities into business workflows, scientific processes, and enterprise solutions.
  • Integrate AI applications with enterprise platforms, instruments, data sources, and operational systems to create connected and scalable capabilities.
  • Apply software engineering best practices and modern development methodologies to deliver secure, reliable, maintainable applications.
  • Implement DevSecOps principles, CI/CD practices, and observability standards across application development and deployment.
  • Provide technical leadership within multidisciplinary delivery teams and guide engineering execution toward production-ready outcomes.
  • Collaborate with Product Owners, Architects, Platform teams, Data specialists, AI Scientists, and AI Engineers to deliver enterprise solutions.
  • Contribute to the development of reusable application capabilities that can be adopted and scaled across complex business environments.
  • Support enterprise software modernization, digital transformation, and large-scale application development initiatives where applicable.
  • Help translate emerging AI capabilities into practical, secure, and scalable applications that deliver measurable business impact.

  Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related technical discipline.
  • 8+ years of software engineering experience, with demonstrated success building enterprise applications, cloud-native solutions, and AI-enabled software products.
  • Strong hands-on development experience with technologies such as .NET/C#, Python, React, Angular, APIs, microservices, and cloud services.
  • Strong understanding of cloud-native architectures and distributed systems.
  • Proven experience with CI/CD, DevSecOps practices, observability, and modern software engineering methodologies.
  • Strong technical leadership skills, with the ability to guide delivery teams and influence technical direction.
  • Excellent communication and collaboration skills across multiple technical disciplines and stakeholder groups.
  • Strong analytical and problem-solving abilities, with a focus on delivering reliable and scalable solutions.
  • Experience building AI-enabled applications using Retrieval-Augmented Generation (RAG), agentic workflows, Enterprise Copilots, AI assistants, or Generative AI is a plus.
  • Experience with data engineering, analytics platforms, cloud-native AI services, and enterprise data ecosystems is desirable.
  • Previous experience delivering enterprise software modernization, digital transformation, or large-scale application initiatives in complex business environments is advantageous.

  Benefits:

  • Full-time position based in India.
  • Remote work arrangement, allowing eligible employees to work from home.
  • Comprehensive and competitive employee benefits programs.
  • Healthcare and other benefits designed to support well-being beyond work.
  • Paid time off.
  • Flexible working arrangements for eligible roles.
  • Opportunity to work on enterprise-scale AI and software engineering initiatives.
  • Exposure to multidisciplinary teams spanning product, architecture, data, AI, platform, and engineering.
  • Opportunities to contribute to innovative technology solutions and ongoing professional development.