AI Engineer

Summary

Next Insurance is a technology-led provider of small business insurance, aiming to transform the customer experience for entrepreneurs. They are seeking an AI Engineer to design, build, and scale AI-driven capabilities, focusing on robust AI systems and backend development in a fast-paced environment.

Responsibilities

• Design, implement and optimize backend services that support AI workflows
• Integrate ML and LLM models into production systems with focus on performance, reliability and scalability
• Building and owning AI features end to end
• Evaluating/monitoring AI systems in pre-release/production environments
• Building reliable AI systems and writing production code
• Experience building or maintaining backend services or microservices
• Diagnose complex issues across data pipelines, model serving and backend components. This role focuses on building active APIs, microservices, and real-time serving infrastructure. It is not a Data Engineering role focused on ETL or batch processing pipelines
• Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans
• Contribute to system design, architecture reviews and code quality improvements
• Support innovation and continuous improvement by identifying opportunities and driving technical initiatives

Skills

• 2+ years of backend engineering experience in Python, Go, Java or similar
• Proven experience building high performance or distributed systems
• 2+ years of hands on experience integrating ML or LLM models into production
• Strong understanding of cloud infrastructure, microservices and observability
• Ability to operate effectively under ambiguity and navigate dynamic environments
• Strong communication and collaboration skills
• Familiarity with evaluating model performance using metrics such as precision, recall, F1 score, or other business-relevant measures is an advantage

Qualifications

Must Haves

• 2+ years of backend engineering experience in Python, Go, Java or similar
• Proven experience building high performance or distributed systems
• 2+ years of hands on experience integrating ML or LLM models into production
• Strong understanding of cloud infrastructure, microservices and observability
• Ability to operate effectively under ambiguity and navigate dynamic environments
• Strong communication and collaboration skills

Nice to Haves

• Familiarity with evaluating model performance using metrics such as precision, recall, F1 score, or other business-relevant measures is an advantage

Benefits

• Annual performance-based incentive program
• Partially subsidized medical plan
• Fully subsidized vision/dental options
• Life insurance
• Disability insurance
• 401(k)
• Flexible paid time off
• Parental leave
• Hybrid- 3 days In-Office