Founding AI/ML Engineer
Title: Founding AI/ML Engineer
About inRev: inRev is an insurtech company building the world’s first automated underwriting platform for surety bonds. We’ve made it possible to purchase surety bonds in a matter of minutes, revolutionizing a $20B global industry that is growing quickly.
Since launching in early 2022, we have written over $1B in surety bonds across a wide range of industries, from construction to crypto. In 2024, we increased annual revenue by 6x and achieved profitability. We have raised over $4 million from some of the world’s most respected insurtech investors, including Accelerant (NYSE: ARX) and Greenlight Re (NASDAQ: GLRE) , and were the recipient of the NEXT award as Nashville’s top financial services startup.
The early success of our product has generated a ton of momentum, but we’ve only scraped the surface of what we are building. We are now looking for a foundational AI/ML engineer to build our AI capabilities from the ground up.
About the position: This is a unique opportunity for an experienced and entrepreneurial AI/ML engineer to build and own the AI function at a rapidly growing startup. You will be the founding member of our AI/ML practice, operating in the unbounded territory at the intersection of our Engineering and Underwriting teams. The person who will succeed in this role is a motivated, self-starting engineer who is determined to build impactful, intelligent software that delivers measurable value.
You are not afraid to tackle unknown challenges and will have the autonomy to shape our AI strategy and infrastructure. You will begin by evaluating and productionizing our existing LLM-based applications before moving on to greenfield projects focused on risk and underwriting. You will thrive in a fast-paced environment, working with a team dedicated to innovation and quality.
What you will be asked to do:
● Take full ownership of our AI/ML function, from strategy and architecture to deployment and monitoring.
● Evaluate, productionize, and scale our existing LLM-powered prompt-runner application. ● Design, build, and deploy robust data extraction pipelines to process unstructured
documents (PDFs, images, spreadsheets) into structured data for underwriting analysis. ● Develop and implement traditional machine learning models for core underwriting use
cases, including risk scoring, default prediction, and fraud detection. ● Establish the foundations of our MLOps practices to ensure models are scalable,
versioned, and monitored effectively. ● Collaborate closely with subject matter experts on the Underwriting team to define
problems, source training data, and validate model performance.
Skills and Experience we're looking for:
● Proven experience in designing, building, and deploying machine learning models into a production environment.
● Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
● Demonstrated experience with Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), and using APIs like OpenAI, Anthropic and Gemini. Experience with frameworks like LangChain or LlamaIndex is a major plus.
● Hands-on experience with data extraction and OCR technologies for processing various document formats.
● Strong understanding of the end-to-end machine learning lifecycle. ● Solid foundation in software engineering best practices and the ability to write clean,
maintainable code. ● Experience with cloud services (GCP experience with Vertex AI or Document AI is a
plus, but AWS/Azure experience is also welcome). ● Proficiency with SQL and relational databases like PostgreSQL.
Exciting projects ahead:
● Building the next evolution of our automated underwriting engine by integrating predictive models.
● Developing our core data extraction platform to automatically process and analyze bond request submissions.
● Creating our first generation of predictive models for identifying risk and detecting fraud. ● Building out a data and analytics platform to help underwriters perform AI-assisted risk
analysis. ● Integrating AI to further streamline and automate agent and underwriter workflows.
- Title: Founding AI/ML Engineer
For more information about this role please apply, or email Alec Bunnell on abunnell@pgrec.com who will be able to provide more details on the opportunity.
Many thanks, Premier Group