Backend Engineer
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Job Description
About Baselayer:
Baselayer is a rapidly growing identity company founded in 2023 by Jonathan Awad and Timothy Hyde. With funding of $20 million, they’ve achieved $2 million in ARR faster than any other identity company in history. Their team boasts experience from major banks, Fortune 500 tech companies, fintech unicorns, and AI experts. Baselayer’s clientele includes over 2,000 financial institutions and government agencies. The company focuses on revolutionizing fraud prevention and compliance for financial institutions.
Job Description: Backend Engineer
Baselayer seeks an impeccable core/API backend engineer with 1-3 years of experience in backend development using Python and API construction. The ideal candidate will be comfortable working with large-scale data and optimizing performance in high-volume systems. A strong interest in AI/ML integration, particularly with LLMs, and a desire to learn new technologies are essential. Experience with security and compliance in backend systems, especially in regulated environments like KYC/KYB, is critical.
The role requires a keen eye for detail and a commitment to writing clean, maintainable, and performant code. The successful candidate will thrive in a high-trust, ownership-focused environment and be comfortable working across different levels of abstraction. They should be a problem-solver who confidently navigates the unknown, a proactive self-starter who thrives in dynamic settings, and highly intelligent and detail-oriented. A highly feedback-oriented approach, embracing radical candor, is expected.
Responsibilities:
• API Development & Integration: Build and maintain RESTful APIs, integrating them with various data sources. Ensure scalability, high performance, and adaptability for autonomous agents in the GTM space.
• Backend System Design: Architect and design core backend services supporting KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases.
• Data Processing & Management: Develop and maintain robust data pipelines for identity data processing, emphasizing scalability and performance with large-scale, high-performance data flows.
• AI/ML Integration: Collaborate with AI/ML teams to integrate models (including reinforcement learning from human feedback (RLHF) and fine-tuning like LoRA) to improve LLMs for specific identity-related use cases.
• Platform Infrastructure: Build infrastructure to support future AI/ML hires and projects, creating a scalable platform foundation for ongoing innovation.
• Security & Compliance: Ensure backend systems meet industry standards for security, privacy, and compliance, especially KYC/KYB regulations.
• Performance Optimization: Implement optimizations for large-scale data management, ensuring efficient identity data processing while maintaining reliability.
• Testing & Debugging: Write unit tests, debug issues, and monitor backend services for performance and reliability, continuously improving backend architecture to handle diverse data and use cases.
Benefits:
• Hybrid work in San Francisco (3 days/week in-office)
• Flexible PTO
• Healthcare and 401K
• Salary Range: $122k – $142k + Equity (0.05% – 0.25%)
