AI Native Software Engineer
Remote • Jaipur
Posted 1d ago
Job Location
Jaipur
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. This role involves leading 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 for measurable impact. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration, emphasizing active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments.
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 (e.g., REST, GraphQL, Kafka, or message queues).
- Develop and deploy applications across AWS, Azure, and Google Cloud.
- Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
- Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines.
- Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
- 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
- Minimum 3 years of experience required.
- 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 (e.g., Azure Open AI, Azure Foundry, AWS SageMaker,) or simple ML frameworks.
- Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture.
- Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform, BiCep).
- Experience with cloud-native services (e.g., Azure Functions, LogicApps, ServiceBus etc.).
- Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools.
- Understanding of secure coding practices and basic enterprise security standards (e.g., IAM, encryption).
- 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.