REMOTE - Lead AI Engineer

Lead AI Engineer

Remote - US Only | $170K-$220K base + bonus + equity

We're partnering with a next-gen fintech infrastructure company to hire their first Lead AI Engineer - a foundational hire who will be both hands-on in building AI systems and responsible for leading a small team of machine learning engineers.

You'll guide the strategy and execution of AI across underwriting, fraud detection, merchant risk scoring, and operational automation. This role is perfect for someone who wants to stay deeply technical while also growing and mentoring a high-impact team.

What You'll Do

• Design, build, and deploy production-grade ML models for fraud detection, risk scoring, and internal automation

• Lead and mentor a team of 2 machine learning engineers while remaining hands-on with architecture, coding, and deployment

• Partner with engineering, product, and risk teams to define and prioritize high-impact AI use cases

• Work with structured and unstructured data across onboarding, identity, and payments systems

• Own the full ML lifecycle: from prototyping and pipeline design to model deployment, monitoring, and iteration

• Establish best practices for model governance, observability, and performance benchmarking

• Evaluate and integrate third-party AI services (e.g., document verification, anomaly detection) where appropriate

What You Bring

• 5-10+ years of experience building and deploying ML/AI systems in production

• Strong Python skills; fluency with ML frameworks like PyTorch, TensorFlow, or Scikit-learn

• Experience leading or mentoring other ML engineers while staying hands-on with technical work

• Experience working with financial or transactional datasets

• Hands-on experience shipping models with CI/CD, versioning, and monitoring in place

• Strong architectural thinking - you can lay the technical foundation while remaining execution-focused

• Ability to collaborate cross-functionally and influence technical direction

Nice to Have

• Experience in fintech, payments, or fraud/risk modeling

• Familiarity with LangChain, Hugging Face, or vector databases

• Exposure to LLMs, prompt engineering, or retrieval-augmented generation (RAG)

• Knowledge of identity verification systems, onboarding workflows, or embedded finance

Compensation & Benefits

• $170K-$220K base salary + performance-based bonus

• Meaningful equity package

• 100% remote (must be based in the U.S.)

• Medical, dental, and vision coverage (50-80% company-covered)

• 401(k) (eligibility after 3 months)

• Unlimited PTO

Email Your Resume In Word To

Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:

taylor.mcalister@cybercoders.com

• Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : TM4-1875739 -- in the email subject line for your application to be considered.***

Taylor McAlister - Sr. Executive Recruiter

For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

This job was first posted by CyberCoders on 08/28/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.

CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.