AI/ ML Engineer

Job Description
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)