AI Native Software Engineer

Remote • Jaipur

Posted 1d ago

About the job

We are seeking a forward-thinking AI Native Software Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role involves applying AI-native practices to build and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The ideal candidate will have a strong focus on hands-on development and practical solution design, with robust experience in .NET Core, MVC, and Python, and a foundational understanding of AI integration.

Responsibilities

  • Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges.
  • Automate processes and integrate intelligent insights into enterprise workflows.
  • Actively develop, test, and deploy application-heavy solutions, writing clean, efficient code in .NET Core (C#, ASP.NET) and Python for backend systems.
  • Contribute to front-end development using React or Angular.
  • Partner with senior architects to design scalable, cloud-native application architectures.
  • Build and maintain integrations using APIs, microservices, and event-driven patterns.
  • Develop and deploy applications across AWS, Azure, and Google Cloud.
  • Implement practical AI features using cloud-based AI services or frameworks like TensorFlow or PyTorch.
  • Collaborate with DevOps teams to implement containerized solutions and CI/CD pipelines.
  • Ensure applications meet performance and security standards through code reviews and testing.
  • Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations.
  • Stay updated on full-stack development trends, cloud technologies, and AI advancements.

Requirements

  • 5 to 12 years of hands-on experience in full-stack development.
  • At least 2 years in a lead developer or junior architect role focusing on application-heavy systems.
  • Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud).
  • Strong proficiency in .NET and Python for backend development.
  • Hands-on experience with front-end frameworks like React, Angular, or similar.
  • Basic exposure to AI/ML integration, such as using cloud AI services or simple ML frameworks.
  • Practical experience with integration patterns and microservices architecture.
  • Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform).
  • Experience with cloud-native services.
  • Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools.
  • Understanding of secure coding practices and basic enterprise security standards.
  • Strong debugging and problem-solving skills with a hands-on mindset.
  • Clear communication to collaborate with technical and non-technical stakeholders.
  • Ability to juggle hands-on coding with architectural design contributions.
  • Eagerness to learn and adapt to new tools, frameworks, and cloud technologies.
  • Bachelor's degree in computer science, Engineering, or a related field.
  • 15 years full time education.

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