Lead Gen AI Data Scientist

About Bluevine

Bluevine is the banking platform for small businesses that need to keep moving, redefining how entrepreneurs manage their money.

We bring banking, payments, billing, and access to capital into one connected place, so business owners can move money, pay vendors, get paid, and fund what’s next without switching tools or losing time. Everything we build starts with a deep understanding of how small businesses actually run, and we keep their money secure along the way.

Since 2013, more than 1 million small business owners across all 50 states have trusted us with their money, from contractors to dental offices to e-commerce brands. Today, over 500 employees come to work focused on making banking one less thing that slows them down.

All of this comes back to our team. We’re curious problem-solvers who learn fast, would rather solve problems together, and care deeply about the people we’re building for. If you want your work to make a real difference to business owners every day, and want to keep growing while you do it, apply below.

At Bluevine, we are building the next generation of AI-powered capabilities that support data-driven decision-making across the company. We are looking for a LeadData Scientist with hands-on experience in Generative AI, Large Language Models, and applied machine learning.

What You'll Do

• Research and evaluate LLMs and Generative AI techniques for business and data science use cases.

• Collaborate with technical and cross-functional teams to integrate AI capabilities into existing products and workflows.

• Share knowledge and support the adoption of Generative AI across the organization.

• Design experiments to adapt and evaluate foundation models using internal and domain-specific data.

• Build and productionize LLM-based applications, AI agents, and RAG solutions.

• Develop prompting, retrieval, and evaluation strategies to improve model quality, reliability, and business impact.

• Work with embeddings, vector databases, and LLM orchestration frameworks.

• Apply Generative AI to use cases such as risk modeling, fraud detection, and customer analytics.

• Monitor and improve the performance, cost, and reliability of AI solutions in production.

What We’re Looking For

• 8+ years of hands-on experience in Data Science, Machine Learning & Applied AI. Strong experience with Generative AI and Large Language Models.

• Experience building LLM-based applications, AI agents, RAG solutions, or other production-oriented AI systems.

• Experience with context engineering, model evaluation, fine-tuning, embeddings, or vector databases.

• Strong proficiency in Python and common data science and machine learning tools.

• Experience deploying and monitoring AI or machine learning solutions in production.

• Strong analytical, problem-solving, communication, and collaboration skills.

• Ability to work independently and translate AI capabilities into practical business solutions.

Nice to Have

• Experience with LLMOps, model observability, or cloud-based AI services.

• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.

• Background in financial services, risk, fraud, or customer analytics.

Benefits & Perks

• Excellent group health coverage

• Flexible hybrid work model

• Large Study Fund contribution

• Salary Benchmarks and Checkpoints

• Monthly meal card of TenBis or CiBus (your choice) with generous balance

• Free parking for cars, scooters, and bikes

• Free gym membership

• Company-sponsored Mental Health Benefits

• PTO, Company Holidays, and Flexible Holidays

• Community-based volunteering opportunities