Senior AI Engineer — Production LLMs (Remote)

Eliassen Group; United States; Remote; Confidential; Full time

Job summary

Eliassen Group is seeking a Senior AI Engineer to design, build, and deploy production-grade AI applications and agentic workflows at scale in the insurance domain. The role requires strong software engineering, Databricks expertise, and hands-on experience shipping LLM-based solutions to production.

You will collaborate with product managers, architects, and stakeholders to transform underwriting, claims, and pricing through AI while establishing standards and best practices.

Qualifications

• 5+ years in software, AI, or machine learning engineering.
• Proven experience deploying AI and LLM solutions to production.
• Strong Python development skills and expert Databricks experience.
• Experience with AI orchestration frameworks or agentic architectures.

Responsibilities

• Design, build, and deploy AI-powered applications in production.
• Develop solutions using LLMs, AI agents, orchestration frameworks, and modern AI engineering practices.
• Engage business stakeholders, translate requirements, and deliver scalable technical solutions.
• Contribute to architecture discussions, solution design, and technical roadmaps.
• Implement cloud-native development practices and maintain robust AI systems.
• Apply MLOps for deployment, monitoring, and CI/CD of AI solutions.
• Work in AI-assisted development environments with coding agents and human-in-the-loop workflows.
• Partner with product management and architecture throughout the solution lifecycle.
• Advance organizational AI transformation initiatives and standards.
• Establish and advocate engineering best practices for AI development.

Skills

Python development

Databricks

LLMs / Generative AI

MLOps / CI/CD

Cloud experience (Azure)

Strong communication

Tools

AI orchestration frameworks

Agentic architectures

Job description

Eliassen Group is seeking a Senior AI Engineer to design, build, and deploy production-grade AI applications and agentic workflows at scale in the insurance domain. The role requires strong software engineering, Databricks expertise, and hands-on experience shipping LLM-based solutions to production.

You will collaborate with product managers, architects, and stakeholders to transform underwriting, claims, and pricing through AI while establishing standards and best practices.