Remote AI Platform Engineer (LLMs & Agents)

Joblet-AI; Dubai; Remote; AED 477,000 - 588,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Health insurance premium reimbursement

Job summary

micro1 is hiring an AI/ML Engineer for Internal Platforms. The role focuses on building and improving a next‑generation AI recruiting agent, leveraging LLMs, and deploying production‑ready features.

You will develop backend services in Python, design prompts, workflows, and orchestration, and collaborate with product and engineering teams to ship AI-powered capabilities while staying current with new AI models and best practices.

Qualifications

• Strong Python software engineering skills.
• Experience building applications with LLMs and AI APIs.
• Familiarity with agent frameworks such as LangChain, LangGraph, or LlamaIndex.
• Experience building APIs with FastAPI or similar frameworks.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and an experimental mindset.
• Excellent communication and collaboration skills.

Responsibilities

• Build AI agent capabilities using modern LLMs.
• Develop backend services and APIs in Python.
• Design and iterate prompts, workflows, RAG, and agent orchestration.
• Evaluate model performance and improve quality through experimentation.
• Collaborate with product and engineering teams to deliver AI-powered features.
• Deploy and maintain scalable AI systems in production.
• Stay current with the latest AI models, tools, and best practices.

Skills

Python

LLMs

AI APIs

LangChain

LangGraph

LlamaIndex

FastAPI

Cloud platforms

Problem solving

Communication

Tools

FastAPI

LangChain

LangGraph

LlamaIndex

AWS/GCP/Azure

Job description

micro1 is hiring an AI/ML Engineer for Internal Platforms. The role focuses on building and improving a next‑generation AI recruiting agent, leveraging LLMs, and deploying production‑ready features.

You will develop backend services in Python, design prompts, workflows, and orchestration, and collaborate with product and engineering teams to ship AI-powered capabilities while staying current with new AI models and best practices.