Full-stack Developer with AI/ML

Role Summary

We are looking for an experienced Full Stack Developer with strong expertise in Python, FastAPI, React/Angular, AWS Cloud, and Microservices to design and develop scalable enterprise applications. The candidate should have hands-on experience across backend, frontend, APIs, databases, cloud deployment, and modern DevOps practices, with exposure to integrating AI/ML and Generative AI capabilities into applications.

Key Responsibilities

Design, develop, and maintain scalable full-stack applications using Python, FastAPI, React and/or Angular.

Build secure, high-performance REST APIs and microservices and integrate with internal and external enterprise systems.

Design application workflows, business logic, database models, and reusable backend services.

Develop responsive, reusable, and user-friendly frontend components using React/Angular, JavaScript/TypeScript, HTML and CSS.

Deploy and manage applications on AWS using services such as EC2, ECS/EKS, Lambda, S3, RDS, API Gateway, CloudWatch, SQS/SNS and related cloud services.

Integrate AI/ML, LLM, RAG, OCR/Document AI and Agentic AI services into enterprise applications where required.

Work with relational and NoSQL databases and optimize queries, APIs, and application performance.

Implement authentication, authorization, logging, exception handling, monitoring, security, and audit controls.

Build containerized applications using Docker and support CI/CD pipelines and production deployments.

Participate in solution design, code reviews, troubleshooting, performance optimization, and production support.

Collaborate with Product, QA, DevOps, AI, Data and Business teams to deliver solutions from requirements through production.

Required Skills

Backend: Python, FastAPI, Flask, REST APIs, Microservices

Frontend: React and/or Angular, JavaScript, TypeScript, HTML5, CSS

Database: PostgreSQL/MySQL, SQL, NoSQL, ORM frameworks

Cloud: AWS EC2, ECS/EKS, Lambda, S3, RDS, API Gateway, CloudWatch, SQS/SNS

DevOps: Docker, Kubernetes, Git, CI/CD, Bitbucket/GitHub

AI/ML: AI/ML integration, LLM APIs, RAG, Vector Databases, OCR/Document AI; exposure to Agentic AI is preferred

Architecture: Microservices, API-first architecture, asynchronous processing, event-driven systems and scalable application design

Candidate Profile

Strong hands-on expertise in Python and FastAPI with production application development experience.

Strong experience with at least one modern frontend framework: React or Angular.

Hands-on experience building and deploying applications on AWS Cloud.

Good understanding of microservices, APIs, databases, security and cloud-native application architecture.

Experience integrating AI/ML or GenAI capabilities into business applications is highly desirable.

Strong debugging, problem-solving and production troubleshooting skills.

Ability to independently own features/modules from technical design through deployment.

Experience working in Agile/Scrum development environments.

Tech Stack: Python, FastAPI, Flask, React, Angular, JavaScript/TypeScript, PostgreSQL, REST APIs, Microservices, AWS, Docker, Kubernetes, Git/Bitbucket, CI/CD, AI/ML, LLMs, RAG, Vector DBs and OCR/Document AI.