Key Responsibilities

- Develop contemporary frontend applications using frameworks such as React/Next.js and follow scalable and secure frontend development practices.
- Build backend services, microservices, and APIs using Python/FastAPI or similar technologies.
- Design and integrate Generative AI/LLM solutions, including RAG, embeddings, vector search, prompt engineering, and multi-LLM applications.
- Develop Agentic AI solutions using frameworks such as Lang Graph, Lang Chain, Llama Index, or similar technologies.
- Design AI-powered document processing and OCR solutions, including document extraction and intelligent information processing.
- Apply practical knowledge of Machine Learning, Deep Learning, NLP, and Computer Vision to real-world AI applications.
- Design scalable system architectures covering application components, APIs, databases, AI services, caching,



load balancing, and integrations.
- Implement enterprise security and authentication practices such as SSO, OAuth/OIDC, JWT, and role-based access control.
- Work with databases and data technologies such as PostgreSQL, Redis, Vector Databases, and other relevant data stores.
- Develop and integrate REST APIs, internal APIs, streaming APIs, Web Sockets, and third-party/enterprise services.
- Work with Git, CI/CD, Docker, cloud platforms, and deployment practices to deliver production-ready applications.
- Evaluate and integrate emerging AI models, frameworks, and AI developer tools to improve application capabilities and developer productivity.

📌 AI Architect (India)
🏢 Creeno Solutions Private
📍 India