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About the Role
Join a small, high-impact founding team at a seed-stage AI-powered fintech compliance company building a foundational multi-agent AI platform. As an early AI Applied Engineer, you'll work directly with the CEO and CTO to define the AI roadmap and architect core systems that autonomously handle business identity data from diverse sources. This is a pivotal role that will shape company culture, product direction, and real-world AI outcomes for customers in the KYB (Know Your Business) and compliance space.
Responsibilities
- Define AI strategy and directly influence the product roadmap alongside executive leadership
- Design and develop a multi-agent AI platform that processes and reconciles identity and compliance data from varied sources
- Build rigorous evaluation frameworks and benchmarks to measure agent performance and output quality
- Engage directly with customers to capture requirements, gather feedback, and translate insights into product improvements
- Stay current with the latest AI/ML research and ecosystem developments, translating findings into tangible product impact
- Foster a collaborative, high-trust engineering culture as a founding team member
Requirements
- Strong Python development experience with a focus on AI/ML workflows
- Hands-on experience building and deploying multi-agent AI platforms
- Experience with large language models (LLMs) and machine learning pipelines
- Experience in data integration and identity information extraction/reconciliation from diverse sources
- Ability to design and implement evaluation benchmarks to assess agent performance and output quality
- Excellent stakeholder communication skills with the ability to engage directly with customers
- Experience working in or contributing to an early-stage startup environment (founding team experience preferred)
- Ability to track the latest AI landscape and translate findings into product impact
- Proven track record collaborating with C-suite leadership and influencing product roadmaps
Skills
- Python
- AI/ML workflows
- Multi-agent AI platforms
- Large language models (LLMs)
- Machine learning pipelines
- Data integration
- Identity information extraction
- Identity reconciliation
- Evaluation benchmarks
- Stakeholder communication
- Customer engagement
- AI landscape tracking
Location
- New York, NY
Work Type
- On-site
Experience Level
- Early-stage startup experience
- Founding team experience preferred
Salary/Compensations
- $180,000 – $250,000 USD annually
Benefits
- Early-stage equity opportunity as a founding team member
About the Company
- Seed-stage AI-powered fintech compliance company building a foundational multi-agent AI platform.