Description
Responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures.
- Responsible for building out sophisticated AI agent workflows, establishing a scalable cloud infrastructure, and ensuring the application can handle large- scale document ingestion and concurrent user requests seamlessly.
- Design and implement highly complex Retrieval-Augmented Generation (RAG) systems, specifically focusing on Agentic RAG (autonomous decision-making workflows) and Multimodal RAG (handling text, images, and other data types).
Backend Development & Orchestration: Build robust, high-performance APIs and backend services using Python and FastAPI. Orchestrate complex LLM workflows and agents utilizing LangChain and LangGraph.
- Search & Data Infrastructure: Develop data ingestion pipelines capable of handling exceptionally large documents. Configure, optimize, and maintain Vector Databases and Azure AI Search for low-latency, high-accuracy retrieval
- Frontend & UI Development:
Develop rapid, functional, and interactive user interfaces using Streamlit. Utilize JavaScript to build custom frontend components, integrate web elements, and enhance the overall user experience.
- DevOps & Automation: Establish, maintain, and optimize CI/CD pipelines to ensure smooth, automated testing, building, and deployment of the GenAI application.
Document Processing: Handson in parsing complex financial documents, unstructured enterprise documents (PDFs, PPTs, tables, Excel, Word, txt, charts, images etc)
Required Skills
- Programming Languages: Deep expertise in Python; solid working knowledge of JavaScript.
- Solid experience with Azure OpenAI, Azure Machine Learning, Cognitive Search, and AI Studio.
- Solid understanding of LLMs, embeddings, RAG pipelines, vector search, prompt engineering.
- GenAI & LLM Frameworks: Extensive hands-on experience with LangChain and LangGraph/ Semantic Ke
📌 Full Stack Developer (Gurugram)
🏢 BSR
📍 Gurugram