Full Stack Developer AI Native

Schmersal; Pune District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Schmersal Global Competence Center in Pune (Kharadi) seeks a Full Stack Developer AI-Native to design and build enterprise-grade web and hybrid mobile apps using .NET Core, Python, React and Ionic, embedding AI-native capabilities.

You will translate complex business problems into AI-enabled features, work across UI/UX, QA, DevOps and Product teams, ensure secure coding and scalable delivery, and keep pace with emerging AI tools and practices.

Qualifications

• Bachelor's or Master's in CS/IT or related field.
• 6–9 years of full-stack development experience.
• Experience building AI-native enterprise apps.

Responsibilities

• Design, develop, test, and deploy full-stack apps using .NET Core (backend) and Python/React/Ionic (frontend).
• Build secure REST APIs and microservices.
• Integrate AI/ML features into applications and maintain AI-native capabilities.
• Code reviews, tests, and secure SDLC adherence.
• Collaborate with UI/UX, QA, DevOps, and Product teams.

Skills

Full stack development

AI-native engineering

API & microservices

Quality engineering

Collaboration

Problem solving

Education

Bachelor’s/Master’s in CS/IT

Tools

GitHub Copilot

Claude

ChatGPT/LLM APIs

Azure SQL Database

Docker

Job description

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: 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: 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 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.