AI/ML Software Engineer – InsurTech Scale-Up (Remote, US)
A fast-growing InsurTech MGA is transforming the Specialty insurance market through AI and automation. Combining cutting-edge technology with decades of industry experience, this business is building the next generation of intelligent underwriting systems — built to scale, adapt, and disrupt.
You’ll join a high-performing, fully remote team that values collaboration, innovation, and ownership. This is a rare opportunity to build production-grade AI and LLM solutions that directly power real business outcomes.
Must-Have Tech Skills
- 3+ years’ experience in software engineering focused on machine learning, AI, or data science
- Proven experience building and deploying LLM applications in production
- Strong background in time series forecasting, NLP, and predictive modeling
- Hands-on expertise with AWS services (Lambda, S3, Bedrock, SageMaker, DynamoDB, etc.)
- Proficiency in Python for backend and AI development
- Experience with TypeScript and modern data tools (Snowflake, DBT)
- Familiarity with agentic AI frameworks such as LangGraph, LlamaIndex, or CrewAI
- Experience leveraging model platforms such as OpenAI, Hugging Face, or AWS Bedrock
The Role
As an AI/ML Software Engineer, you’ll help drive AI innovation and automation within the company’s underwriting processes. You’ll design and implement machine learning and large language model solutions that scale underwriting capabilities and move toward a fully autonomous rating engine.
Key projects include:
- Developing ML-driven pricing models to automate underwriting decisions
- Designing predictive models using structured and unstructured data for risk forecasting
- Automating loss run report processing through NLP and document intelligence
- Using computer vision to analyze satellite imagery and extract risk attributes
- Building an AI-powered chatbot (Copilot) to support underwriters with analysis and decision-making
Tech Stack
- Languages: Python, TypeScript
- Agentic AI: LangGraph, LlamaIndex, CrewAI
- Model Platforms: OpenAI, Hugging Face, AWS Bedrock
- Data & Infrastructure: Snowflake, DBT
- Cloud: AWS
Who You Are
- Passionate about applying AI to real-world problems and building solutions that scale
- Curious, experimental, and eager to explore new models and frameworks
- Pragmatic and results-oriented, balancing innovation with production needs
- A strong communicator who can work cross-functionally with product and engineering teams
- Motivated by collaboration, impact, and shared success
Nice to Have
- Experience in insurance, fintech, or other regulated industries
- Familiarity with LangChain, PydanticAI, or multi-agent automation frameworks
- Previous experience scaling AI/ML solutions in a startup or high-growth environment
Please note, we can only consider applications that meet all criteria at this time and you must have the right to work in the US or Canada.
