Role Title: Full Stack Developer with Agentic AI & Gen AI

Experience: 4–8 years

Engagement Type: Full-time

Locations: Noida, Gurgaon, Jaipur, Pune, Bengaluru, Ahmedabad, Hyderabad

Technology Stack: Backend: Python FastAPI · Frontend: Next.js / React · Cloud & DevOps: AWS ECS/EC2, Docker, CI/CD, Agentic AI / Gen AI

Role Summary

We are seeking an experienced Full Stack Developer who can own applications end to end — building high-performance Python/FastAPI backends, developing modern Next.js/React front ends, and taking services all the way to production on AWS through containerised, automated CI/CD pipelines. The ideal candidate is comfortable across the entire stack, from data modelling and API design to responsive UI development and cloud deployment, and thrives in a fast-paced, quality-focused delivery workplace.

Key Responsibilities

- Design, develop, and maintain full-stack features spanning the Next.js front end and Python/FastAPI backend.
- Build robust, well-documented RESTful APIs with FastAPI, including authentication, validation, and error handling.
- Develop responsive, accessible, high-performance UIs in Next.js/React (SSR/SSG, App Router, state management).
- Build multi-step agent workflows involving tool/function calling, routing, state management, retries, and human-in-the-loop interactions.
- Integrate LLM providers such as OpenAI, Anthropic, AWS Bedrock, or equivalent platforms.
- Implement RAG pipelines for enterprise knowledge retrieval using vector databases/search platforms such as OpenSearch, or similar technologies.
- Model data and design database schemas; write efficient queries and manage migrations.




- Containerise applications with Docker and deploy to AWS ECS (Fargate/EC2) and EC2.
- Build and maintain CI/CD pipelines for automated build, test, and deployment.
- Ensure application security, performance, and scalability across the stack.
- Write unit and integration tests; participate in peer code reviews and uphold coding standards.
- Collaborate with product, QA, and infrastructure stakeholders; contribute to estimation and Agile ceremonies.
- Troubleshoot and optimise across the stack — from database queries and API latency to browser rendering and deployment reliability.

Must-Have Skills

Backend

- Python — advanced proficiency (OOP, typing, async/await).
- FastAPI — production experience building REST APIs; Pydantic models, dependency injection, OpenAPI/Swagger.
- Databases — PostgreSQL/MySQL, ORMs (SQLAlchemy), migrations.
- Auth & Security — JWT, OAuth2, secure handling of secrets and data.

Frontend

- Next.js / React — production experience with functional components, hooks, SSR/SSG, and the App Router.
- JavaScript / TypeScript — strong command of modern ES features and typed development.
- HTML5 / CSS3 — responsive design and component styling (Tailwind CSS or similar).

Cloud & DevOps

- AWS — hands-on with ECS and EC2 deployment; familiarity with S3, RDS, IAM, CloudWatch.




- Docker — building and optimising container images; registry management (ECR).
- CI/CD — designing and maintaining pipelines (GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline).

Agentic AI / GenAI

- Experience integrating LLMs such as OpenAI, Anthropic, or AWS Bedrock into applications.
- Understanding of Agentic AI, AI agents, tool/function calling, and multi-step workflows.
- Experience with RAG, embeddings, vector databases, and knowledge retrieval.
- Familiarity with agent frameworks.
- Experience building AI chat/streaming interfaces using React/Next.js; AG-UI or similar frameworks is a plus.

General

- Version control — Git-based workflows (branching, pull requests, code review).
- Testing — PyTest, Jest / React Testing Library.
- Microservices and event-driven architecture.

Good-to-Have Skills

- Infrastructure-as-Code (Terraform or CloudFormation).
- Async Python, background processing, and message/task queues (Celery, SQS, Kafka).
- Caching with Redis.
- Kubernetes (EKS) and observability tooling (Prometheus, Grafana, ELK, Datadog).
- AWS certifications (Solutions Architect / DevOps Engineer).

Qualifications

- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Demonstrable track record of shipping and operating full-stack applications in production.

Key Attributes

- Strong problem-solving skills and ownership mindset across the full stack.
- Clear communicator, comfortable collaborating across product, engineering, and infrastructure teams.
- Quality-focused, with attention to security, performance, and maintainability.

📌 React Python Fullstack Developer (Jaipur)
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