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. You’ll also work closely with product and engineering teams to take AI features from development through production.

• 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

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.

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., Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.