Description

• Design, develop, and maintain scalable full-stack applications.
• Build high-performance web applications using React.js and modern frontend frameworks.
• Develop secure and scalable APIs using Python (FastAPI) and Node.js.
• Design and implement microservices-based architectures.
• Integrate REST APIs and GraphQL services for enterprise applications.
• Develop and optimize database solutions using PostgreSQL and SQL.
• Work with Databricks-based data platforms and analytics integrations.
• Build AI-powered applications leveraging LLMs and Generative AI frameworks.
• Implement caching strategies to improve performance and scalability.
• Collaborate with product managers, designers, data scientists, and business stakeholders.
• Ensure application security, code quality, performance optimization, and best engineering practices.
• Participate in code reviews, testing, deployment, and CI/CD activities.

Qualifications:

• Experience: 3+ Years

Backend

• Python
• FastAPI
• Node.js
• REST API Development
• Microservices Architecture
• GraphQL

Frontend

• React.js
• Redux
• JavaScript / TypeScript
• UI/UX Development
• Responsive Web Design

Database & Data Platforms

• SQL
• PostgreSQL
• Databricks

Development Tools

• Postman
• Git
• CI/CD Pipelines

Additional Skills

• API Integration
• Performance Optimization
• Caching Techniques
• Application Monitoring & Troubleshooting

AI/LLM Experience (Mandatory)
Candidates must have:

• Minimum 6+ months of hands-on experience building AI web applications.
• Experience integrating Large Language Models (LLMs) into business applications.
• Exposure to AI orchestration frameworks and prompt engineering.
• Experience developing conversational AI, copilots, knowledge assistants, or GenAI-enabled solutions.
• Understanding of Retrieval Augmented Generation (RAG) concepts is preferred.

Preferred Candidate Profile

• Strong problem-solving and analytical skills.
• Experience working in Agile/Scrum environments.
• Excellent communication and stakeholder management skills.
• Ability to work independently while collaborating across distributed teams.
• Experience delivering production-grade enterprise applications.

Nice to Have

• Azure/AWS/GCP exposure.
• Vector Databases.
• LangChain, LlamaIndex, or similar frameworks.
• Containerization using Docker/Kubernetes.
• Experience with enterprise AI platforms and copilots

Key Skills

Education

Bachelor's degree