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)
Requirements:
Design and build production-grade LLM-powered applications and agentic systems.
Own the end-to-end development of intelligent solutions—from architecture to deployment—leveraging Python, modern LLM frameworks, and scalable system design.
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
Job description
Our client, a IT Services and Consulting company, is looking for a Senior AI Engineer – LLM, RAG & Agentic Systems (Python) for their Remote location.
Responsibilities:
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.
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 or LangGraph
Integrate AI systems with APIs, backend services, and cloud platforms
Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Requirements:
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
10.00 Years of Experience
Recruiter Sourcing Note
Target senior Python engineers with hands-on experience building production LLM applications, RAG pipelines, vector databases, and agentic frameworks such as LangChain/LangGraph. Prefer healthcare or enterprise SaaS backgrounds; avoid candidates with only prompt engineering, chatbot, or research experience lacking backend engineering and production deployments.
