REMOTE - Lead AI Engineer
REMOTE - Lead AI Engineer
CyberCoders
Washington, DC
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CyberCoders provided pay range
This range is provided by CyberCoders. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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, senior individual contributor who will lead the design and deployment of machine learning systems across the company's core payments platform.
You'll drive AI strategy and execution across underwriting, fraud detection, merchant risk scoring, and operational automation. While you'll collaborate closely with an existing AI team, this isn't a people management role - it's ideal for someone who wants to stay deeply technical, own the architecture, and set the direction for AI/ML across the company.
What You'll Do
- Design, build, and deploy production-grade ML models for fraud detection, risk scoring, and internal automation
- 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
- 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 working with financial or transactional datasets
- Hands-on experience shipping models with CI/CD, versioning, and monitoring in place
- Ability to collaborate cross-functionally and influence without authority
- Strong architectural thinking - you can lay the technical foundation while remaining execution-focused
- 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
- $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
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 : TM4-1871468L841 -- in the email subject line for your application to be considered.***
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 07/22/2025 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.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Software Development
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