Overview:
Must Have Technical/Functional Skill
• Strong Python expertise with experience building and deploying production-grade backend systems
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
• Proven experience with RAG architectures, embeddings, and vector databases
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
• Strong system design skills with experience building and scaling cloud-based applications
Roles & Responsibilities
• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases
• Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as
LangChain
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
