The company is looking to design and develop AI-driven applications leveraging LLMs and agentic workflows, build backend services and APIs, implement workflows, and develop RAG systems, semantic layers, and knowledge graph integrations.
Requirements
- Strong experience with Large Language Models (LLMs) and agentic workflows
- Hands-on experience with LangGraph for workflow orchestration
- Expertise in building Retrieval-Augmented Generation (RAG) pipelines
- Knowledge of semantic layers and knowledge graphs for structured reasoning
- Proficient in Python and FastAPI for backend and API development
- Solid understanding of databases (SQL/NoSQL) and query optimization
Responsibilities
- Design and develop AI-driven applications leveraging LLMs and agentic workflows
- Build, test, and deploy backend services and APIs using Python and FastAPI
- Implement workflows using LangGraph and integrate with external services/APIs
- Develop RAG systems, semantic layers, and knowledge graph integrations
- Ensure code quality, scalability, and reliability in production systems
- Participate in code reviews, maintain coding standards, and follow best practices
- Stay up-to-date with emerging AI tools, frameworks, and LLMOps best practices
Other
- Ensure code quality, scalability, and reliability in production systems
- Participate in code reviews, maintain coding standards, and follow best practices
- Stay up-to-date with emerging AI tools, frameworks, and LLMOps best practices
