Senior Backend Engineer

Baselayer; San Francisco (CA); Hybrid; USD 147,000 - 192,000; Full time

Benefits offered by this job

Hybrid work model

Flexible PTO

Collaborative team environment

Job summary

A business identity solutions firm in San Francisco seeks a Backend Engineer. This full-time role involves API development, backend system design, and AI/ML integration, focusing on security and performance within a hybrid work environment. Candidates should possess 2-5 years of backend development experience, proficiency in Python, and a strong interest in innovative technologies. The salary ranges from $147k to $192k, complemented by equity.

Qualifications

• 2-5 years of experience in backend development, working with Python and building APIs.
• Comfortable with large-scale data and optimizing performance.
• Strong interest in AI/ML integration, particularly with LLMs.

Responsibilities

• Build and maintain RESTful APIs integrated with data sources.
• Design core backend services for KYC/KYB processes.
• Develop robust data pipelines for identity data processing.
• Collaborate to integrate AI/ML models for identity use cases.
• Build infrastructure to support AI/ML projects.
• Ensure compliance with security and privacy standards.
• Implement optimizations for large-scale data management.
• Write tests, debug issues, and monitor service performance.

Skills

Backend development experience

Python proficiency

API development

AI/ML integration interest

Security and compliance knowledge

Problem-solving skills

Self-starter mentality

Attention to detail

Feedback-oriented

Job description

Backend Engineer

Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real‑time risk. Baselayer’s B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.

About You

You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You’re not just doing it for the win—you’re doing it because you have something to prove and want to be great. You are looking to be an impeccable core/api backend engineer.

Qualifications

• You have 2-5 years of experience in backend development, working with Python and building APIs
• You’re comfortable working with large‑scale data and enjoy optimizing performance for high‑volume systems.
• You have a strong interest in AI/ML integration, particularly with LLMs, and are eager to learn about new technologies.
• You prioritize security and compliance in backend systems, especially in regulated environments like KYC/KYB.
• You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for performance.
• You thrive in a high‑trust, ownership‑focused environment and are comfortable working across different levels of abstraction.
• Problem‑solver who navigates the unknown confidently.
• Proactive self‑starter who thrives in dynamic settings.
• Incredibly intelligent and clever. You take pride in your code.
• Highly feedback‑oriented. We believe in radical candor and using feedback to get to the next level.

Responsibilities

• API Development & Integration: Build and maintain RESTful APIs and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space.
• Backend System Design: Architect and design core backend services that support 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, focusing on scalability and performance when handling 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 (e.g., LoRA), to improve LLMs for specific use cases within the identity space.
• Platform Infrastructure: Build the infrastructure to support future AI/ML hires and projects, creating a scalable platform foundation for continued innovation.
• Security & Compliance: Ensure backend systems meet industry standards for security, privacy, and compliance, particularly around KYC/KYB regulations.
• Performance Optimization: Implement optimizations for large‑scale data management, ensuring backend services can efficiently process identity data while maintaining reliability.
• Testing & Debugging: Write unit tests, debug issues, and monitor backend services for performance and reliability, while continuously improving backend architecture to handle diverse data and use cases.

Benefits

• Hybrid in SF. In office 3 days/week
• Flexible PTO
• Smart, genuine, ambitious team

Salary Range

$147k – $192k + Equity - 0.05% – 0.25%

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Technology, Information and Internet