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Salary
≈ $13k – $31k per year (Estimated)
Location
In office (Ahmedabad, Gurgaon, Jaipur, Pune, Bengaluru, Hyderabad, Noida)
Experience
5+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Celebal Tech provides Data, AI, Cloud, and IT consulting services tailored to industry needs, helping enterprises adopt digital and analytics solutions.
Backed by Norwest

Experience : 4 - 8 years.

Engagement Type : Full-time.

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

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.

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 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 :

1. 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.

2. 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).

3. 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).

4. 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.

5. 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.

Skills

Full Stack, Next.js, React.js, Python, FastAPI, Javascript, MySQL, ORM, Generative AI, Agentic AI, CloudFormation

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