AI Product Engineer at Assured

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

3–6+ years experience building and shipping ML or deep learning models in production (or exceptional track record with ~1+ years as first AI/ML hire at a startup)
Expertise in Python and frameworks like PyTorch, TensorFlow, Hugging Face
Strong foundation in NLP, deep learning, LLM tools, retrieval pipelines
Experience with data pipelines (structured/semi-structured), ETL, cloud infrastructure (AWS/GCP), containerization, and monitoring
Proven ability to drive architecture and own end-to-end systems delivery
Great communication—able to explain technical trade-offs to technical and non-technical audiences
Preferred
MS/PhD in CS, ML, NLP, or related
Experience in healthcare, insurance, compliance domains
Prior experience deploying GenAI/LLM systems with tools such as LangChain, vector DBs, RAG
Open-source contributions, publications, or technical blog presence

Responsibilities

Design and engineer the infrastructure for training, serving, and monitoring ML systems (document intelligence, LLM pipelines, compliance inference, risk prediction)
Establish best practices around reproducibility, model governance, CI/CD, and monitoring
Lead prototyping, refining, and operationalizing models using deep learning, foundation models, and generative AI
Optimize pipelines for performance, cost, and scalability
Partner with product, engineering, and analytics to discover use cases, build features, and deliver value
Engage with customers to understand operational challenges, validate assumptions, and iterate ML solutions quickly
Write internal memos, external blogs/whitepapers, and present learnings to elevate Assured’s AI brand

Skills

Key technologies and capabilities for this role

ML InfrastructureLLM PipelinesDeep LearningFoundation ModelsGenerative AICI/CDModel GovernanceDocument IntelligenceMonitoring

Questions & Answers

Common questions about this position

Is this role remote or onsite?

The role is onsite.

What are the must-have skills for this AI Product Engineer position?

Must-have skills include 3–6+ years experience building and shipping ML or deep learning models in production, expertise in Python and frameworks like PyTorch, TensorFlow, Hugging Face, strong foundation in NLP, deep learning, LLM tools, retrieval pipelines, and experience with data pipelines, ETL, cloud infrastructure (AWS/GCP), containerization, and monitoring.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of company culture or work environment can I expect at Assured?

Assured offers an early-stage environment where you thrive by owning things end-to-end, working with an elite team backed by top Silicon Valley investors, and having measurable impact using cutting-edge AI in healthcare.

What makes a strong candidate for this AI Product Engineer role?

A strong candidate has 3–6+ years of production ML experience or equivalent startup track record, expertise in Python/ML frameworks and NLP/LLMs, plus preferred qualifications like an advanced degree, healthcare domain experience, GenAI deployment skills, and open-source contributions.

Assured

Digital solutions for insurance claims processing

About Assured

Assured.Claims provides digital solutions specifically for Property and Casualty (P&C) insurance carriers, focusing on enhancing the claims process. Their platform allows insurers to manage claims digitally, utilizing a combination of artificial intelligence and human interaction to facilitate effective communication with all parties involved. A key feature of their service is the First Notice of Loss (FNOL) web app, which helps insurers collect structured data at the beginning of a claim, leading to improved customer experiences and faster claim resolutions. Assured.Claims differentiates itself by offering a white-label solution, enabling insurers to implement their technology under their own brand without needing to develop it themselves. The company's goal is to streamline the claims process for insurers, ultimately improving efficiency and accuracy in claims handling.

Palo Alto, CaliforniaHeadquarters

2019Year Founded

$4.3MTotal Funding

SEEDCompany Stage

Fintech, AI & Machine LearningIndustries

51-200Employees