{"id":1397523,"url":"https://alion.io/job/celebal-tech-generative-ai-full-stack-engineer","title":"Generative AI Full Stack Engineer","company":{"id":2810284,"name":"Celebal Tech","domain":"celebaltech.com","url":"https://alion.io/company/celebaltech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Ahmedabad, India","Gurgaon, India","Jaipur, India","Bengaluru, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Fargate","optional":false},{"name":"CI/CD","optional":false},{"name":"Dependency Injection","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Swagger","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TypeScript","optional":false},{"name":"A2A","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"Celery","optional":true},{"name":"CloudFormation","optional":true},{"name":"Datadog","optional":true},{"name":"DeepEval","optional":true},{"name":"Git","optional":true},{"name":"Grafana","optional":true},{"name":"Jest","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangGraph","optional":true},{"name":"Prometheus","optional":true},{"name":"Pytest","optional":true},{"name":"Redis","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-28T12:11:43Z","employer_posted_date":null,"last_verified_at":"2026-09-28T12:11:43Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Role Title : GenAI Full Stack Engineer\n\n Experience : 4-8 years.\n\n Engagement Type : Full-time.\n\n Locations : Ahmedabad, Noida, Gurgaon, Jaipur, Pune, Bengaluru, Hyderabad.\n\n Technology Stack : \n\n Backend : Python + FastAPI \n\nFrontend : Next.js / React \n\nCloud & DevOps : AWS ECS/EC2, Docker, CI/CD, Agentic AI / Gen AI, A2A, AGUI, DeepEval, LangFuse, LLM Observability, AWS bedrock agentcore, LangGraph.\n\nCelebal Technologies :\n\n We are seeking an experienced Full Stack Developer who can own applications end to end - building high-performance Python/FastAPI backends, developing modern Next.\n\njs/React front ends, and taking services all the way to production on AWS through containerised, automated CI/CD pipelines.\n\n 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.\n\n Key Responsibilities :\n\n- Design, develop, and maintain full-stack features spanning the Next.js front end and Python/FastAPI backend.\n\n- Build robust, well-documented RESTful APIs with FastAPI, including authentication, validation, and error handling.\n\n- Develop responsive, accessible, high-performance UIs in Next.js/React (SSR/SSG, App Router, state management).\n\n- Build multi-step agent workflows involving tool/function calling, routing, state management, retries, and human-in-the-loop interactions.\n\n- Integrate LLM providers such as OpenAI, Anthropic, AWS Bedrock, or equivalent platforms.\n\n- Implement RAG pipelines for enterprise knowledge retrieval using vector databases/search platforms such as OpenSearch, or similar technologies.\n\n- Model data and design database schemas; write efficient queries and manage migrations.\n\n- Containerise applications with Docker and deploy to AWS ECS (Fargate/EC2) and EC2.\n\n- Build and maintain CI/CD pipelines for automated build, test, and deployment.\n\n- Ensure application security, performance, and scalability across the stack.\n\n- Write unit and integration tests; participate in peer code reviews and uphold coding standards.\n\n- Collaborate with product, QA, and infrastructure stakeholders; contribute to estimation and Agile ceremonies.\n\n- Troubleshoot and optimise across the stack - from database queries and API latency to browser rendering and deployment reliability.\n\n Must-Have Skills :\n\nBackend :\n\n- Python - advanced proficiency (OOP, typing, async/await).\n\n- FastAPI - production experience building REST APIs; Pydantic models, dependency injection, OpenAPI/Swagger.\n\n- Databases - PostgreSQL/MySQL, ORMs (SQLAlchemy), migrations.\n\n- Auth & Security - JWT, OAuth2, secure handling of secrets and data.\n\nFrontend : \n\n- Next.js / React - production experience with functional components, hooks, SSR/SSG, and the App Router.\n\n- JavaScript / TypeScript - strong command of modern ES features and typed development.\n\n- HTML5 / CSS3 - responsive design and component styling (Tailwind CSS or similar).\n\n Cloud & DevOps :\n\n- AWS - hands-on with ECS and EC2 deployment; familiarity with S3, RDS, IAM, CloudWatch.\n\n- Docker - building and optimising container images; registry management (ECR).\n\n- CI/CD - designing and maintaining pipelines (GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline).\n\n Agentic AI / GenAI :\n\n- Experience integrating LLMs such as OpenAI, Anthropic, or AWS Bedrock into applications.\n\n- Understanding of Agentic AI, AI agents, tool/function calling, and multi-step workflows.\n\n- Experience with RAG, embeddings, vector databases, and knowledge retrieval.\n\n- Familiarity with agent frameworks.\n\n- Experience building AI chat/streaming interfaces using React/Next.js; AG-UI or similar frameworks is a plus.\n\n General :\n\n- Version control - Git-based workflows (branching, pull requests, code review).\n\n- Testing - PyTest, Jest / React Testing Library.\n\n- Microservices and event-driven architecture.\n\n Good-to-Have Skills :\n\n- Infrastructure-as-Code (Terraform or CloudFormation).\n\n- Async Python, background processing, and message/task queues (Celery, SQS, Kafka).\n\n- Caching with Redis.\n\n- Kubernetes (EKS) and observability tooling (Prometheus, Grafana, ELK, Datadog).\n\n- AWS certifications (Solutions Architect / DevOps Engineer).\n\n Qualifications :\n\n- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.\n\n- Demonstrable track record of shipping and operating full-stack applications in production.\n\n Key Attributes :\n\n- Strong problem-solving skills and ownership mindset across the full stack.\n\n- Clear communicator, comfortable collaborating across product, engineering, and infrastructure teams.\n\n- Quality-focused, with attention to security, performance, and maintainability.\n\nSkills\nGenerative AI, Full Stack, Artificial Intelligence, AI Integration, AWS, Next.js, React.js, Python, FastAPI, LLM, RAG","description_format":"text","description_chars":4873,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","AI Consulting & Integration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-28T14:00:09Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":17,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/celebal-tech-generative-ai-full-stack-engineer","json_url":"https://alion.io/job/celebal-tech-generative-ai-full-stack-engineer.json","meta":{"generated_at":"2026-10-01T02:37:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1924,"day_limit":5000,"remaining_today":3076,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}