GenAI Data Scientist

Position Overview

We are looking for a GenAI Data Scientist to design, build, and deploy LLM-powered solutions, including multi-agent systems, that support business-critical workflows. In this hands-on role you will work closely with data scientists and engineers to turn ideas into reliable, scalable systems while deepening your expertise in agentic architectures and applied machine learning. This is a fully remote role with the exception of onboarding and optional in-office events. At Bold Penguin, the market-leading digital solutions provider for commercial insurance, you will contribute to transforming the entire insurance lifecycle.

Key Responsibilities

• Contribute to GenAI and data science projects from problem definition through deployment, with guidance from senior team members.
• Build and extend multi-agent systems using frameworks such as LangChain and LangGraph, including supervisors, tools, agent coordination, and shared state.
• Develop LLM-powered pipelines for extraction, classification, reasoning, summarization, and decision-making tasks.
• Implement agent orchestration patterns such as routing, tool calling, retries, and fallback strategies.
• Partner with engineering to integrate models and agents into production services following established API, versioning, and observability standards.
• Monitor deployed agents and models for accuracy, latency, and failures; support debugging and iterative improvements.
• Write clean, maintainable data science code, including unit tests and documentation, and help improve existing logic as systems evolve.
• Apply best practices for prompt design, evaluation, and basic confidence or quality scoring within agentic workflows.
• Participate in design reviews and technical discussions related to GenAI systems and agent behavior.
• Share learnings and support junior team members as needed.

Required Qualifications

• 3 to 5 years of experience in data science, machine learning, or applied AI roles, with hands-on experience building GenAI or LLM-based systems.
• Strong Python skills and experience writing production-quality, testable code.
• Practical experience using frameworks such as LangChain, LangGraph, or similar tools to build LLM applications.
• Experience implementing or contributing to multi-agent systems including agent coordination, tool usage, and state management.
• Familiarity with common GenAI use cases such as information extraction, classification, summarization, and reasoning over unstructured data.
• Solid understanding of prompt design techniques to improve reliability, including retries, fallbacks, and guardrails.
• Experience integrating models or agents into backend services or APIs.
• Basic understanding of monitoring concepts such as accuracy, latency, and error analysis.
• Ability to work effectively with software engineers and communicate technical concepts clearly.
• Physical ability to sit/stand/walk for prolonged periods and use standard office equipment for extended durations.

Benefits & Perks

• Competitive Compensation
• Medical, Dental, and Vision
• Flexible PTO Policy
• 401(k) with a company match
• Employee Assistance Program
• Parental Leave
• Disability and Life Benefits

Stay connected via our SLACK channels and video conferences, and enjoy fun company events like all-hands "Waddles" and Penguin bling swag!

Bold Penguin is an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.