Full-Stack Developer

*Design and implement AI agent applications leveraging frameworks such as LangChain, LlamaIndex, or similar orchestration tools.

• Develop frontend interfaces using React, , or Angular for interactive AI-driven user experiences.
• Build and maintain backend services and APIs (REST, GraphQL) to integrate AI agents with data sources, enterprise systems, and external APIs.
• Implement RAG (Retrieval-Augmented Generation) pipelines with vector databases such as Pinecone, FAISS, or Weaviate.
• Integrate AI models from Azure OpenAI, AWS Bedrock, Hugging Face, or custom-trained ML models.
• Ensure secure, scalable, and performant deployment of AI agent applications in Azure, AWS, or containerized Kubernetes environments.
• Implement authentication, authorization, and compliance features (RBAC, OAuth2, JWT, encryption).
• Collaborate with data engineers and ML engineers to integrate data pipelines and model endpoints into AI agent workflows.
• Apply CI/CD best practices using tools such as GitHub Actions, Azure DevOps, or AWS CodePipeline.
• Write clean, maintainable, and well-documented code, with automated testing and monitoring in place.

We are seeking a Full-Stack Developer with strong experience in AI application development to design, build, and deploy intelligent AI agents that integrate seamlessly into enterprise systems. The ideal candidate will have expertise in frontend and backend development, cloud-native architectures, and LLM-powered applications, with the ability to deliver complete, production-ready solutions independently. This role requires a combination of modern web development skills, API engineering, and AI/ML integration capabilities, leveraging multi-cloud and open-source tools., * 5+ years of experience as a Full-Stack Developer, with exposure to AI/ML-powered applications.

• Strong proficiency in JavaScript/TypeScript, Python, and at least one modern frontend framework (React, , Angular, or .
• Experience with backend frameworks (, FastAPI, Django, LibraChat, Flask) and API development.
• Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector database integrations.
• Experience with multi-cloud deployments (Azure, AWS) and container orchestration (Docker, Kubernetes).
• Understanding of secure coding practices and data privacy compliance (GDPR, HIPAA).
• Solid knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, DynamoDB).
• Strong problem-solving, debugging, and performance optimization skills.