Description

Responsibilities

• Design, develop, and maintain AI-powered applications using Python and LLM frameworks
• Develop reusable backend services, APIs, and components for integrating AI capabilities
• Integrate services with RESTful APIs, external data sources, and enterprise systems
• Deploy applications to cloud environments (AWS) ensuring scalability and reliability
• Build responsive, user-friendly UI components (React) to surface AI capabilities Develop and maintain reusable frontend and backend components for scalability and consistency
• Optimize systems for performance, latency, cost, and accuracy in production environments
• Write clean, maintainable, and well-tested code following engineering best practices
• Participate in code reviews and contribute to engineering standards of software development
• Work within Agile / Scrum teams to support iterative experimentation and delivery cycles
• Troubleshoot and debug issues across prompts, APIs, model outputs, and cloud infrastructure

Qualifications

Required Skillsets:

• Python API Integration (REST, microservices, FastAPI/Flask) Cloud Platforms (AWS services such as Lambda, S3, ECS, IAM, EventBridge)
• Debugging and performance optimization across applications
• Additionally, bonus if experience's below: in frontend/UI development (React, TypeScript, Vite) would be advantageous. LLM Frameworks & Tools (OpenAI, LangChain, LlamaIndex, etc.), Prompt Engineering & Evaluation Techniques

Key Skills

Education

Any Gradute