We are hiring experienced GenAI Full Stack Developers with solid expertise in Python, Generative AI, LLMs, AWS Cloud, and Full Stack Development .
The ideal candidate should have hands-on experience designing and developing enterprise-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, modern Python frameworks, React/Angular, and AWS cloud services.
Key Responsibilities
- Develop enterprise-grade GenAI and LLM applications.
- Design and implement RAG pipelines using vector databases.
- Build Agentic AI workflows.
- Develop scalable REST APIs and Microservices using Python.
- Build frontend applications using React.js or Angular.
- Integrate LLMs with enterprise applications.
- Deploy cloud-native applications on AWS.
- Work with Amazon Bedrock, SageMaker, Lambda and other AWS AI services.
- Build AI pipelines involving Prompt Engineering, Embeddings and Vector Search.
- Containerize applications using Docker and Kubernetes.
- Follow CI/CD, DevOps and security best practices.
- Collaborate with Architects, Data Scientists and Cloud teams.
Mandatory Skills
- 5–20 years of software development experience
- Strong Python programming
- Generative AI
- Large Language Models (LLMs)
- RAG
- Prompt Engineering
- LangChain / LangGraph / LlamaIndex
- AI Agents / Agentic AI
- AWS Cloud
- Amazon Bedrock
- FastAPI / Flask
- REST APIs
- Microservices
- React.js or Angular
- JavaScript / TypeScript
- SQL & NoSQL Databases
- Docker
- Kubernetes / Amazon EKS
- Git & CI/CD
Good to Have
- Enterprise-scale GenAI implementation
- AWS Generative AI Certifications
- AI Security
- Responsible AI
- Event-driven architecture
- Serverless Applications
- Agile/Scrum
📌 GenAI Full Stack Developer (India)
🏢 Harp
📍 India
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