Job Description : Full Stack Developer AI-Native

Global Competence Center

1. Post :

Full Stack Developer AI-Native (.NET Core, Python, Ionic, React)

2. Basic Requirements :

- Educational Qualification : Bachelors/Masters in Computer Science, Information Technology, or related field.

- Experience : 6-9 Yrs.

- Industry Type : Any, preferably Manufacturing / Product Engineering.

- Location : Pune (Kharadi)

3. Purpose of the Job :

The Full Stack Developer will design, build, and maintain enterprise-grade web and hybrid mobile applications using .NET Core, Python, React, and Ionic, while actively embedding AI-native capabilities into the software development lifecycle and the products themselves. The individual will work closely with various stakeholders to translate architectural blueprints into working, high-quality, secure code, and will champion the use of AI-assisted engineering tools and AI-powered features to improve both product value and team productivity.

4. Major Activities / Principal Accountabilities :

- Design, develop, test, and deploy full stack applications using .NET Core (backend/APIs) and Python and React/Ionic (web and hybrid mobile frontend).

- Build and consume secure RESTful APIs and microservices.

- Integrate AI/ML-powered features into applications (e.g., intelligent search, recommendations, chat/assistant interfaces, predictive insights).

- AI-Native Engineering towards :

1. LLM integration

2. AI-powered application development

3. RAG implementation

4. AI agents and agentic workflows

5. Prompt engineering

6. AI evaluation and optimization

7. Enterprise AI solution architecture

- Candidate should be able to translate business problems into AI-enabled product features, not just consume AI APIs.

- Hands-on Experience with :

1. Semantic search

2. Embeddings

3. Knowledge retrieval

4. Context management

5. Hallucination mitigation

6. AI observability and monitoring

- Building secure, scalable, enterprise-grade AI applications with proper governance and data security considerations.

- Candidate should be able to build and maintain end-to-end AI feature development. The candidate should have prior hands-on experience designing, developing, deploying, and maintaining AI-powered features in production environments.

- Candidate should be able to do operationalization of AI features, including performance, cost optimization, and monitoring.

- Candidate should be able to define AI architecture and solution design, selection of appropriate AI patterns and frameworks for different use cases.

- Write clean, modular, well-documented, and testable code following secure coding and Secure SDLC practices.

- Participate in code reviews, unit testing, and automated testing to ensure high quality and maintainability.

- Work within CI/CD pipelines, contribute to branching strategy discipline, and support automated build/release processes.

- Collaborate with UI/UX, QA, DevOps, and Product teams to deliver features on time with minimal defects.

- Optimize application performance across web and mobile (Ionic hybrid) platforms.

- Implement authentication/authorization (OAuth2/OIDC, RBAC) and follow data security and encryption best practices.

- Troubleshoot, debug, and resolve production issues in a timely manner.

- Stay current with emerging AI tools, frameworks, and engineering practices, and proactively suggest improvements to team workflows.

5. Core Skills :

- Full Stack Development : Strong hands-on experience across backend (.NET Core), Python and frontend (React, Ionic) development.

- AI-Native Engineering : Exposure to vector databases, RAG (Retrieval-Augmented Generation) patterns, or LLM orchestration frameworks. Practical experience using AI coding assistants and integrating AI/LLM-based features into applications.

- API & Microservices : Experience designing/consuming REST APIs and working with microservices-based architectures.

- Quality Engineering : Unit testing, automated testing, and adherence to coding standards.

- Collaboration : Ability to work closely with various stakeholders in an agile environment.

- Problem Solving : Strong debugging and analytical skills for complex, cross-layer issues.

6. Technical Skill :

- Backend : Python, .NET Core (Version 5/6/8+), C#, RESTful API development.

- Frontend/Web : React.js, JavaScript/TypeScript, HTML5, CSS3.

- Mobile/Hybrid : Ionic Framework.

- AI Tools : Exposure to AI-assisted coding tools (e.g., GitHub Copilot, Claude, ChatGPT/LLM APIs) and integrating AI/LLM APIs into applications.

- Database : SQL Server / Azure SQL Database; familiarity with ORMs such as Entity Framework Core.

- Cloud & DevOps : Working knowledge of Azure (preferred), AWS, or GCP; exposure to CI/CD pipelines and Git-based version control.

- Other : Microservices, API strategies, basic observability/logging practices.

7. Advance / Good-to-Have Skill :

- Experience with prompt engineering or fine-tuning for AI-powered application features.

- Familiarity with IoT-connected applications or device data integration.

- Understanding of containerization (Docker) and basic Infrastructure-as-Code concepts.

- Exposure to Angular is an added advantage.

8. Behavioral Skills :

- Strong learning agility with genuine curiosity to explore and adopt new AI tools and frameworks.

- Good communication skills to collaborate with cross-functional teams.

- Ownership mindset with attention to detail and code quality.

- Comfortable working in a fast-paced, evolving technology environment.

- Good team player, proactive, and solution-oriented.