About Baselayer : With experience across far-ranging banks, Fortune 500 tech companies, fintech unicorns, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 million and achieved $2 million in ARR faster than any other identity company in history. Today, more than 2,000 financial institutions and government agencies are customers, and Baselayer is revolutionizing fraud prevention and compliance. Check out their press release here → https://baselayerhq.com/press/ About You : You want to learn from the best, get hands-on experience, and work hard to reach your full potential. You’re motivated by excellence and want to be an impeccable core/api backend engineer. You have 2-5 years of experience in backend development, working with Python and building APIs. You’re comfortable with large-scale data and enjoy optimizing performance for high-volume systems. You have a strong interest in AI/ML, especially with LLMs, and are eager to learn new technologies. You prioritize security and compliance, particularly in regulated environments like KYC/KYB. You write clean, maintainable code and optimize for performance. You thrive in high-trust, ownership-driven environments and can work across different levels of abstraction. You are a problem solver who navigates the unknown confidently. You are proactive, self-starting, and adaptable to dynamic settings. You are highly intelligent, clever, and take pride in your code. You are receptive to feedback and committed to continuous improvement. Responsibilities : API Development & Integration: Build and maintain RESTful APIs, integrating with various data sources to ensure scalability and high performance for autonomous agents in the GTM space. Backend System Design: Architect core backend services supporting KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases. Data Processing & Management: Develop robust data pipelines for identity data, focusing on scalability and performance for large-scale data flows. AI/ML Integration: Collaborate with AI/ML teams to integrate models, including RLHF and LoRA fine-tuning, to enhance LLMs for identity use cases. Platform Infrastructure: Build scalable infrastructure to support future AI/ML projects and hires. Security & Compliance: Ensure systems meet security, privacy, and compliance standards, especially around KYC/KYB regulations. Performance Optimization: Optimize backend services for efficient large-scale data processing and reliability. Testing & Debugging: Write tests, debug issues, and monitor system performance, continually improving architecture for diverse use cases. Benefits : Hybrid work in SF, in-office 3 days/week Flexible PTO Healthcare, 401K Smart, genuine, ambitious team

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