Staff Engineer - AI Digital Workers for Financial Crime and Compliance Teams

Client: (VC-backed AI / Fintech Startup)

Facility: AI / Fintech Product Engineering

Job Title: Staff Engineer

Location: Remote (US)

Client Type: VC-backed Startup (AI / Fintech)

Salary Range: $200,000 – $320,000 USD per year

Equity: $600K – $1M USD

Employment Type: Full-time | Permanent

Positions Available: 1-3

Shift & Schedule

• Shift Type: Day Shift

• Schedule: Flexible (Startup Environment)

• Work Type: 100% Remote (US)

• No Nights | No On-call

About the Role

This organization is building AI Digital Workers for financial crime and compliance teams, helping banks and fintech companies automate investigations, alert reviews, and generate audit-ready reporting.

This is a core product engineering role where the Staff Engineer will work directly with the founding team, own major product components end-to-end, and ship features straight to production. The role is ideal for engineers who thrive in fast-paced, early-stage startup environments and are excited about AI-driven systems.

Key Responsibilities

• Build and ship new product features daily using Python

• Develop AI agents that interact with customers and financial data

• Integrate with third-party data providers and internal systems

• Own product features end-to-end from design to production

• Make fast architectural and product decisions

• Collaborate closely with founders and a small engineering team

• Continuously improve system performance, reliability, and scalability

Requirements (Must-Haves)

• Exceptional proficiency in full-stack product engineering

• Strong experience building and shipping production-ready systems

• Hands-on experience or deep interest in LLMs and AI systems

• Ability to work independently and take full ownership

• Strong problem-solving and decision-making skills

• Authorized to work in the U.S. (Visa sponsorship available for exceptional candidates)

Preferred Qualifications

• Experience in Fintech, Compliance, or Financial Services

• Early-stage startup or zero-to-one product experience

• Familiarity with AI/ML-driven workflows

• Strong system design and architecture skills

Interview Process

• Round 1: Interview with CEO

• Round 2: Interview with CTO

• Round 3: Technical Interview – Debugging / Engineering Session

• Round 4: Technical Interview – Architecture / System Design

Client Expectations (Top Priorities)

• Strong product ownership mindset
• Ability to build fast and ship to production
• Deep interest in AI and LLM capabilities
• Comfort working in a small, high-impact startup team
• High sense of urgency, accountability, and decision-making