- Location
- Mumbai, Maharashtra, India
- Job type
- Full-time
Required skills
- LangChain
- AWS
- Azure
- backend
- cross-functional
- FastAPI
- Flask
- GCP
- TensorFlow
- Pytorch
About the role
Website:
anjusmriti.com
Job details:
Key Responsibilities
- Design and develop AI/ML and Generative AI solutions using LLMs (Large Language Models).
- Build and implement RAG (Retrieval-Augmented Generation) architectures for intelligent applications.
- Develop and optimize prompt engineering strategies and fine-tune models using SFT (Supervised Fine-Tuning).
- Work with LLM platforms such as OpenAI and Anthropic (Claude AI).
- Build AI workflows using LangChain and LangGraph for orchestration of LLM-based applications.
- Develop intelligent document processing solutions using platforms such as Rossum, Hyperscience, Nanonets, and Infrrd.
- Implement document AI solutions using Microsoft Azure AI Document Intelligence, AWS Textract, LandingAI (ADE Split), and LlamaParse.
- Work with advanced document understanding models such as LayoutLMv3 and Donut for structured data extraction.
- Implement and manage vector databases for semantic search and knowledge retrieval.
- Develop scalable APIs and backend services using Flask and/or FastAPI.
- Train and optimize models using PyTorch and TensorFlow.
- Deploy AI solutions on cloud-native platforms (AWS, GCP, Azure) with a focus on Azure AI/ML services.
- Collaborate with cross-functional teams to deliver production-ready AI systems.
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