Mandate skills: Backend: Python FastAPI · Frontend: Next.js / React · Cloud &

DevOps: AWS ECS/EC2, Docker, CI/CD, Agentic AI / Gen AI -A2A, AGUI, DeepEval,

LangFuse, LLM Observability, AWS bedrock agentcore, LangGraph

Technology Stack: Backend: Python FastAPI · Frontend: Next.js / React · Cloud & DevOps: AWS

ECS/EC2, Docker, CI/CD, Agentic AI / Gen AI -A2A, AGUI, DeepEval, LangFuse, LLM Observability,

AWS bedrock agentcore, LangGraph

Experience: 4–8 years

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 environment.

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 productive 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

Pay: ₹1,800,000.00 per year

Benefits

- Work from home

Application Question(s):
- Current company
- Total experience
- Relevant experience
- Current location
- Preferred location
- In hand salary (current)
- Expected ctc

Work Location: Remote

📌 Full Stack Engineer- AI (India)
🏢 Sourcedear
📍 India