Lead I - Data Science(Python LLM)

Role Description

Senior AI Engineer - LLM & Agentic Systems (Python)

Role Overview

We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.

Key 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)

Key Qualifications

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

Skills

agentic ai,python,agentic systems,embeddings,rag,llm,vector databases,backend services