GenAI Full Stack Engineer
First seen by Alion on Oct 7, 2026.
Role Title : GenAI Full Stack Engineer / Fullstack AI Engineer / Agentic AI Engineer.
GenAI Engineer / AI Engineer - Agentic AI :
Experience : 5 - 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
Generative AI, Artificial Intelligence, Full Stack, Agentic AI, Python, FastAPI, Next.js, AWS, LLM, React.js, OOPS