Full Stack Developer AI Native

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

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

field.

Experience: 6 to 9 Yrs.

Industry Type: Any, preferably Manufacturing / Product Engineering.

Location: Pune

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.