Join to apply for the Junior Backend Engineer role at Baselayer . Get AI-powered advice on this job and more exclusive features. 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 founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 million and reached $2 million in ARR faster than any other identity company in history. Over 2,000 Financial Institutions and Government Agencies are customers, and Baselayer is revolutionizing fraud prevention and compliance. Check out their press release here → About You: You want to learn from the best, get hands-on experience, and reach your full potential. You’re motivated by excellence and eager to become an impeccable core/api backend engineer. 1-3 years of experience in backend development, working with Python and building APIs. Comfortable with large-scale data and optimizing performance for high-volume systems. Interested in AI/ML integration, especially with LLMs, and eager to learn new technologies. Prioritize security and compliance, especially in regulated environments like KYC/KYB. Detail-oriented, committed to writing clean, maintainable, and performant code. Thrives in high-trust, ownership-driven environments, comfortable across different levels of abstraction. Problem-solver confident in navigating the unknown. Proactive, self-starting, and adaptable to dynamic settings. Intelligent, clever, and takes pride in coding quality. Open to feedback and committed to continuous improvement. Responsibilities API Development & Integration: Build and maintain RESTful APIs, ensuring scalability and high performance for autonomous GTM agents. Backend System Design: Architect core backend services supporting KYC/KYB processes, leveraging knowledge graphs and LLMs. Data Processing & Management: Develop scalable data pipelines for identity data processing. AI/ML Integration: Collaborate with AI teams to integrate models like RLHF and LoRA for specific identity use cases. Platform Infrastructure: Build scalable infrastructure to support future AI/ML initiatives. Security & Compliance: Ensure systems meet security, privacy, and regulatory standards. Performance Optimization: Enhance backend performance for large-scale data handling. Testing & Debugging: Write tests, debug, monitor, and improve backend architecture continuously. Benefits Hybrid work in SF, 3 days in-office/week Flexible PTO, Healthcare, 401K Ambitious, genuine team Salary Range: $122k – $142k + Equity (0.05% – 0.25%) Seniority level Entry level Employment type Full-time Job function Engineering and IT Industries Technology, Internet #J-18808-Ljbffr Baselayer
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