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AI Engineer

Next Insurance

New This Week
ML EngineeringInsuranceSenior (6-10 yrs)HybridInsurance

Great for backend/ML engineers wanting to apply AI at an insurtech scale-up backed by a major European insurer (ERGO/Munich Re).

AI → Finance

Location

Waltham, MA

Salary Range

$152,000 – $265,000

Posted

Mar 26, 2026

Insider Signals

Beta
Growing AI Team

undefined is building out its AI team (200-500). Early joiners can have outsized impact.

Company AI Context

AI Maturity

growing

AI Team Size

200-500

Tech Stack

PythonGoCloud infrastructureML/LLM frameworks

Recent News

Next Insurance backed by ERGO (Munich Re subsidiary), serving 500K+ small business customers

Build and integrate ML/LLM models into production insurance systems at Next Insurance — an insurtech transforming small business insurance with AI.

## About the Role Next Insurance (ERGO NEXT) is building the future of small business insurance. As an AI Engineer, you will integrate ML and LLM models into production systems with a focus on performance, reliability, and scalability. ## Responsibilities - Design backend services that support AI workflows - Integrate ML/LLM models into production systems - Diagnose complex issues across data pipelines, model serving, and backend components - Collaborate across teams on technical architecture for AI features - Ensure production ML services meet performance and reliability standards ## Requirements - 5+ years of backend engineering (Python, Go, Java, or similar) - 2+ years integrating ML/LLM models into production systems - Experience with distributed systems, cloud infrastructure, and microservices - Strong collaboration and communication skills ## Compensation Tiered by experience level: IC1 (2+ years) 05,000-42,000; IC2 (3+ years) 27,000-71,000; IC3 (4+ years) 52,000-06,000; IC4 (10+ years) 96,000-65,000

Skills & Technologies

PythonML/LLM integrationDistributed systemsCloud infrastructureMicroservicesBackend engineering

Best Backgrounds

  • backend engineering
  • ML engineering
  • platform engineering
  • distributed systems

Related Titles to Explore

  • ML Platform Engineer
  • Backend Engineer - AI
  • Senior Software Engineer - ML
  • AI Infrastructure Engineer

Career Bridge Playbook

Beta

Career paths into this role

backend engineer
platform engineer
ML engineer
DevOps engineer

Where this role leads

Staff AI Engineer
ML Platform Lead
Engineering Manager - AI
Head of AI Engineering

Transition Difficulty

medium

Key Skill Gaps to Close

  • insurance domain knowledge
  • ML model serving patterns
  • LLM integration best practices

Skills used in this role

Technical

pythonml-model-integrationllm-integrationdistributed-systemscloud-infrastructuremicroservicesproduction-ml

Domain

insuranceinsurtechsmall-business-finance

Soft Skills

cross-functional-collaborationtechnical-architecture

Interested in this role?

Apply directly on the company's career page.

Apply Now

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