: 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: Bachelor’s/Master’s 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 stakeholder 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:

- LLM integration
- AI-powered application development

- RAG implementation
- AI agents and agentic workflows

- Prompt engineering

- AI evaluation and optimization

- 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:

- Semantic search

- Embeddings

- Knowledge retrieval

- Context management

- Hallucination mitigation

- 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: Robust 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 stakeholder 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.

📌 Full Stack Developer AI Native (Pune)
🏢 Schmersal
📍 Pune