Lead AI Engineer

About Bizee

Bizee (formerly Incfile) has helped over 1 million entrepreneurs start and run their businesses. We are transforming from a transaction-focused formation business to an AI-powered operating system for entrepreneurs.

We champion the everyday entrepreneur. We believe in self-determination, grit, and earned success. No fluff, no jargon, no pretense. We work hard, ship fast, and let our products speak for themselves.

What Makes Working Here Different

• AI as a Core Platform Capability: AI is a foundational layer of the product, not a feature set. The role owns how intelligence is built, deployed, and scaled across the platform.
• Real Problems, Real Scale: The systems you build will operate across large customer volumes, complex rule sets, and time-sensitive workflows, with direct impact on customer outcomes and business performance.
• Build the Team: You will inherit a small AI team and grow it. You will define how AI engineering works at Bizee.
• Material Business Impact: The effectiveness of the AI platform directly influences growth, efficiency, and long-term enterprise value.

The Role

As the Lead AI Engineer, you will own the design and delivery of the core intelligence layer of Bizee’s platform. You will be responsible for building and operating production AI systems that support decisioning, automation, and predictive workflows across the product.

Your work will shape how intelligence is embedded into the platform improving relevance, reducing friction, and enabling the company to scale complex workflows reliably.

This is a player-coach role. You will lead a team of 3-6 AI/ML engineers while spending 50-60% of your time hands-on: building systems, reviewing code, and shipping features. You report to the Head of Platform and partner closely with Data, Product, and Growth teams.

This is a hands-on, AI-native engineering role. You live in Claude Code. You ship production AI systems, not prototypes. You can demonstrate real applications you have built using LLMs, not just fine-tuning experiments. We will ask you to show us.

Reports to Head of Platform.

What You'll Deliver

In your first year:

• Customer Intelligence Systems: Build systems that understand customer context and intent, and use that understanding to guide product discovery, engagement, and expansion.
• Proactive Decisioning: Develop predictive systems that surface the right actions at the right time, reducing friction and preventing downstream issues.
• Automation at Scale: Apply AI to eliminate manual, high-volume workflows through generation, extraction, and validation of structured information.
• Production AI Infrastructure: Own the foundational AI stack, including model orchestration, inference pipelines, observability, reliability, and cost controls.
• Team Growth: Grow AI team from 3 to 5-6 engineers. Establish AI engineering practices including evaluation frameworks, quality bars, deployment patterns, and code standards.
• Claude Code Adoption: Champion AI-assisted development across engineering; be the internal expert others learn from.

What You Will Own

• Customer & Product Intelligence: Build systems that infer customer context and intent, and use that understanding to surface relevant actions and recommendations at the right time.
• Automation & Decisioning Systems: Apply AI to automate complex, high-volume workflows and customer interactions, improving reliability and reducing manual effort across the platform.
• AI Platform Infrastructure: Own the foundational AI stack, including model serving, feature management, inference pipelines, gateways, observability, and cost controls.
• LLM Integration: Production LLM applications with guardrails, safety, prompt management, and evaluation.
• AI Team: Hire, develop, and retain AI/ML engineers. Set technical direction and code standards.

Requirements

What We're Looking For

• Production AI Experience: 5+ years in software engineering with experience building and operating AI/ML systems in production environments (not just research or prototypes).
• LLM Application Development: Experience building real-world applications using modern LLMs (Claude, GPT, etc.). Strong understanding of prompting strategies, retrieval approaches, RAG, fine-tuning tradeoffs, and production deployment.
• Claude Code Native: You use Claude Code (or similar AI coding tools) daily. It is how you work, not an experiment. Show us what you have built with it.
• Applied Machine Learning: Experience building systems that leverage machine learning to drive relevance, personalization, or decisioning in user-facing products.
• Technical Leadership: Experience leading small teams or acting as a senior technical lead. Comfortable mentoring engineers, reviewing code, and setting technical direction.
• Full-Stack AI: You can build end-to-end: data pipelines, model training/serving, API integration, and production monitoring.
• Business Orientation: You measure success by success through customer and business outcomes such as engagement, retention, efficiency, or revenue impact not model metrics alone.

What Will Make You Stand Out

• You can show us production AI applications you have built using Claude Code in the last 6 months.
• You have built recommendation systems that drove measurable revenue impact.
• Experience in compliance, legal tech, fintech, or regulatory-heavy industries.
• You have implemented LLM guardrails, safety systems, and cost management at scale.
• Background in document processing, OCR, or intelligent automation.
• You have opinions on AI engineering best practices and can articulate them clearly.

This Role Is NOT For You If...

• You prefer research over production. We ship AI systems, not papers.
• You have only done traditional ML and have not built with LLMs.
• You do not use AI coding tools in your daily work.
• You want a pure IC role with no people leadership responsibility.
• You optimize for model metrics rather than business outcomes.

What We Don't Care About

• PhD or advanced degrees (show us what you have shipped).
• FAANG pedigree (show us your production systems).
• Kaggle rankings or competition wins (show us business impact).

Interview Note: We will ask you to show us AI applications you have built, walk through how you use Claude Code daily, and discuss a production AI system you have shipped end-to-end. Come prepared with specific examples and code.

Benefits

Disclaimer:

Bizee is an Equal Opportunity Employer; employment with Bizee is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

The compensation offered to the successful applicant may vary based on factors including experience, skills, education, location, and other job-related reasons.

This employer participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Available benefits include: Health Care Plan (Medical, Dental & Vision), Life Insurance (Basic, Voluntary & AD&D), Virtual Wellness Resources, Work From Home