AI Engineer - LLM/AI

You’ll work with machine learning and large language models, develop backend services that support AI workflows, and build systems to evaluate and monitor AI performance. In this position, you’ll combine backend engineering with Generative AI to build reliable, production-ready AI systems and features.

Job Description

A global insurance company is hiring an AI Engineer to design, build, and scale AI-powered capabilities across its digital insurance platform. In this position, you’ll combine backend engineering with Generative AI to build reliable, production-ready AI systems and features.

You’ll work with machine learning and large language models, develop backend services that support AI workflows, and build systems to evaluate and monitor AI performance. You’ll also work closely with product and engineering teams to take AI features from development through production.

Required Skills & Experience

• Experience in Python, Java, or Kotlin
• Experience building high-performance systems
• Experience with generative AI/LLM applications
• Experience with AI powered products end to end
• Experience with AI evaluation frameworks

Desired Skills & Experience

• Experience working in a SaaS environment or experience in the insurance industry
• B. Sc in Computer Science or equivalent degree
• 4+ years backend software engineering
• 4+ years of experience integrating ML or LLM models into production

What You Will Be Doing

Daily Responsibilities

• 100% Hands On
• Design and build backend services that support AI workflows
• Build Ai features from development through productions
• Monitoring AI systems
• Troubleshoot issues across AI models, backend services, and data systems
• Develop systems to evaluate AI/LLM performance and quality

The Offer

• Bonus OR Commission eligible

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) {including match - if applicable}

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.