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)