AI Solutions Engineer: LLM Deployments & Cloud

Remotedxb; Dubai; On-site; AED 120,000 - 160,000; Full time

Job summary

66degrees is an end-to-end AI transformation partner helping enterprises turn chaotic data into strategic assets. We are seeking a senior engineer to drive and deliver agentic solutions and scalable data models across deployments.

You will own the technical delivery from prototype to production, build full-stack systems, and collaborate with Research and Product teams to align roadmaps. The role requires cloud expertise (GCP/AWS/Azure) and hands-on experience with LLM-powered systems.

Qualifications

• 5+ years of experience with cloud platforms (GCP/AWS/Azure).
• Professional-level GCP certification.
• 7+ years in engineering or technical deployment with stakeholder-facing work.
• Experience with production-grade code in Python or JavaScript.
• Experience building or deploying systems powered by LLMs or generative models.
• Ability to drive solutions from ambiguity to simplicity in fast-paced environments.

Responsibilities

• Explore and ideate opportunities to drive and scale adoption of agentic solutions and data models.
• Map the sales journey to identify opportunities for AI and agentic workflows.
• Own technical delivery from prototype to production across deployments.
• Build full-stack systems delivering customer value.
• Design and propose agentic solutions for clients.
• Share field feedback with Research and Product teams to improve roadmaps.
• Prepare demonstrations and proof of concept environments based on client requirements.

Skills

Python

JavaScript

LLM deployment

Stakeholder communication

Tools

GCP

Azure

AWS

Job description

66degrees is an end-to-end AI transformation partner helping enterprises turn chaotic data into strategic assets. We are seeking a senior engineer to drive and deliver agentic solutions and scalable data models across deployments.

You will own the technical delivery from prototype to production, build full-stack systems, and collaborate with Research and Product teams to align roadmaps. The role requires cloud expertise (GCP/AWS/Azure) and hands-on experience with LLM-powered systems.