Celebal Technologies - Generative AI Full Stack Engineer

Role Title : GenAI Full Stack Engineer 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.Celebal Technologies : 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 :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. (ref:hirist.tech)