Full Stack Engineer

Position: Full Stack Engineer (ReAct, Python, AWS, LLM APIs)

Experience: 5+ Years

Location: Remote India

Shift: 2 PM 11 PM IST

We are seeking a highly skilled Full Stack Engineer with strong expertise in React (ReAct pattern), Python backend development, AWS cloud services, and SQL . You will build scalable, high-performance, cloud-native applications while integrating frontier LLM APIs into modern workflows.

This is a hands-on engineering role where youll work across the entire stack from UI/UX to backend services, cloud infrastructure, and AI-driven features.

Key Responsibilities

• Develop high-performance frontend applications using React with modern patterns and architecture.
• Build scalable backend services using Python (FastAPI / Flask / Django) .
• Design and optimize SQL queries and schemas in RDS databases (PostgreSQL/MySQL).
• Deploy and manage services on AWS EC2, RDS, S3, API Gateway, Lambda .
• Integrate frontier LLM APIs (OpenAI, Anthropic, Gemini, Llama APIs) into product features.
• Build reusable components, APIs, and microservices with secure coding best practices.
• Work with CI/CD pipelines, Git workflows, and cloud-native deployment patterns.
• Collaborate with product, design, and AI teams to ship features end-to-end.
• Ensure performance, reliability, scalability, and observability across services.
• Write clean, maintainable, and well-documented code following best practices.

Required Skills

• 5+ years of experience as a Full Stack Engineer.
• Strong hands-on experience with React (hooks, context, component design, state management).
• Expertise in Python backend frameworks and API development.
• Strong SQL skills: schema design, query optimization, indexing.
• Deep knowledge of AWS EC2, RDS, S3, IAM, VPC .
• Experience working with frontier LLM APIs (OpenAI, Claude, Gemini, Llama).
• Understanding of modern architectural patterns: MVC, microservices, event-driven systems.
• Strong debugging and performance optimization skills.

Nice to Have

• Experience with serverless (AWS Lambda).
• Familiarity with LangChain, LlamaIndex, or vector DBs.
• Docker and Kubernetes experience.
• Experience with authentication frameworks (OAuth2, JWT).
• Knowledge of caching systems (Redis).

Soft Skills

• Excellent communication and remote collaboration skills.
• Ability to work independently and own features end-to-end.
• Problem-solving mindset with attention to detail.
• Strong adaptability to AI-first development workflows