9 hours ago
Jersey City, NJ, USAMid Level
Base Salary
$95k - $120k/yr
Responsibilities
- Build production-grade GenAI product features focused on quality, reliability, and performance.
- Implement and iterate on LLM solutions using RAG, prompt engineering, context engineering, loop engineering, and agentic workflows.
- Write clean, tested, and maintainable Python code and contribute to the broader codebase and infrastructure.
- Build evaluation and monitoring pipelines for GenAI output quality, groundedness, and reliability.
- Evaluate foundation models and GenAI frameworks and tooling, and assess implementation tradeoffs.
- Collaborate with product owners and cross-functional stakeholders to translate requirements into technical solutions.
- Participate in code reviews, design discussions, and engineering best practices.
- Debug and resolve technical issues across the stack.
- Own medium-complexity features end-to-end, mentor SDE I engineers, and contribute to GenAI architecture and design decisions.
Requirements
- At least 3 years of industry experience in software engineering, data science, or machine learning.
- At least 1 year of hands-on experience building GenAI or LLM-based features or applications, ideally in production.
- Strong Python skills and experience with modern AI/ML and GenAI frameworks and tooling.
- Working knowledge of LLMs, embeddings, RAG, prompt engineering, context engineering, and GenAI architecture patterns.
- Experience with cloud-native architectures and deploying scalable applications to production.
- Understanding of GenAI evaluation, testing, monitoring, and responsible AI practices.
- Ability to work with moderate autonomy, decompose ambiguous problems, and communicate technical tradeoffs.
- Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.
- Knowledge of LLM fine-tuning or adaptation techniques such as SFT, LoRA/PEFT, and instruction tuning is preferred.
- Experience preparing training datasets, evaluating fine-tuned models against baselines, or working with agentic AI and multi-step LLM workflows is preferred.
Benefits
- Health insurance, a retirement plan, disability benefits, and paid time off.
- Hybrid work arrangement.
- Work flexibility with support, coaching, and training.
Tech Stack
Categories
About Verisk
Verisk builds data analytics platforms, predictive models, and software used by property and casualty insurers to underwrite, price, detect fraud, and manage claims. The company monetizes industry-scale datasets, catastrophe risk models, and workflow tools sold by subscription and transaction to insurers, reinsurers, and brokers worldwide. Founded in 1971 and headquartered in Jersey City, New Jersey, Verisk is a public company trading on Nasdaq (VRSK).