AI Engineer (LLM & Agents)

CloudSol; Lahore; Remote; PKR 1,800,000 - 3,600,000; Full time

Benefits offered by this job

Remote‑friendly culture

Learning budget for courses andcon'fe

Job summary

CloudSol is hiring to design and ship production-ready LLM systems, including chatbots, RAG pipelines, and autonomous agents for global clients. This full-time role offers remote work from Lahore, Pakistan, with ownership from discovery through deployment.

You will collaborate with product and backend teams to turn AI prototypes into reliable, monitored systems, ensuring robust observability and guardrails in production environments.

Qualifications

• 2+ years building with Python and AI tooling.
• Hands-on experience with LangChain or LangGraph.
• Experience with FastAPI and vector databases.
• Clear communication with non-technical stakeholders.

Responsibilities

• Build LLM-powered chatbots, copilots, and agent workflows.
• Design RAG pipelines with private knowledge bases.
• Integrate OpenAI, Claude, and open-source models via secure APIs.
• Add evaluation, guardrails, and observability for production AI.

Skills

Python

LangChain

FastAPI

Vector databases

API integration

Tools

LangGraph

OpenAI API

Job description

Design and ship production LLM systems — chatbots, RAG pipelines, and autonomous agents for global clients.

Full-time / Remote 2+ years Lahore, Pakistan

You’ll work closely with product and backend teams to turn AI prototypes into reliable, monitored systems. Expect ownership from discovery through deployment.

What you’ll do

• Build LLM-powered chatbots, copilots, and agent workflows
• Design RAG pipelines with private knowledge bases
• Integrate OpenAI, Claude, and open-source models via secure APIs
• Add evaluation, guardrails, and observability for production AI

What we’re looking for

• 2+ years building with Python and modern AI tooling
• Hands‑on experience with LangChain/LangGraph or equivalent
• Comfortable with FastAPI and vector databases
• Strong communication with non‑technical stakeholders
• Remote‑friendly culture
• Learning budget for courses and conferences
• Work on real AI products shipping to production