Celebal Technologies
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Ahmedabad · On-site · 4-7 Yrs · 5 days ago
Enterprise Software & Network Solutions · 201 to 500 Employees · Jaipur, India
Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. Celebal Technologies solutions are powered by Robotics, Artificial Intelligence and Machine Learning algorithms which offer improved business efficiency in the interconnected world. Companies clients are Product ISVs and delivery organisations across the globe who use our niche expertise in product development as well as Enterprise project implementations. We have adopted the highest standards of service quality and operational excellence, enabling its clients across a wide range of industries to transform into a data-driven enterprise. Our tailor-made solutions help enterprises maximise productivity, improve speed and accuracy. Our adept team industry experts have strong expertise in various industry-standard technologies along with niche emerging areas including Blockchain, Analytics & Visualization, IoT, Chatbot, Data Science- AI & ML. We have hands-on experience in developing and performing supply chain analytics and media greenlighting solutions, connect the dots across data pits for generating actionable insights. We help modernize legacy and on-premise applications by leveraging modern cloud paradigms such as Microservices, Advance Analytics, API Management and other Cloud-native services. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions. Our analytics team caters to ad-hoc and defined business analytics
Hiring: Engineering
What employees say
+ Good projects and good expoy
− No wlb and no flexibility
More reviews on the company profile.
Interview experience · Data Scientist
I apply on walk in drive after waiting 2 hours my number were come the interviewer ask about gen ai and agentic ai question, I answered all question still not selected
Average difficulty · Noida · 304 reports
More interview insightsJob description
Overview
Walkin Drive on Saturday, 10th October - Ashram Road, Ahmedabad
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.
Qualifications
- Frontend: Next.js / React
- Cloud & DevOps: AWS ECS/EC2, Docker, CI/CD,
- 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.
- 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).
- 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).
- 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.
- Version control Git-based workflows (branching, pull requests, code review).
- Testing PyTest, Jest / React Testing Library.
- Microservices and event-driven architecture.
- 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).
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Demonstrable track record of shipping and operating full-stack applications in production.
- 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.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Walk-in Drive , Fullstack Developer with Gen AI / Agentic AI at Celebal Technologies?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Celebal Technologies may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Walk-in Drive , Fullstack Developer with Gen AI / Agentic AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Walk-in Drive , Fullstack Developer with Gen AI / Agentic AI remote or on-site in Ahmedabad, Gujarat?
- This listing is marked on_site with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this Walk-in Drive , Fullstack Developer with Gen AI / Agentic AI role at Celebal Technologies?
- This is a mid-level Walk-in Drive , Fullstack Developer with Gen AI / Agentic AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.