Baselayer

About the Company

Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States. Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system. Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. Baselayer.com

Listed Jobs

Company Name

Baselayer

Job Title

Solutions Engineer

Job Description

Job Title: Solutions Engineer Role Summary: Act as a technical liaison between the customer and the product team, translating complex identity verification concepts into actionable integration plans and ensuring successful deployment of the platform’s API-driven services. Expectations: - Minimum 2+ years in a technical, product management, or customer‑facing role. - Fundamental understanding of APIs, web technologies, and integration patterns. - Strong documentation and communication skills. - Proven problem‑solving ability and adaptability to ambiguous scenarios. - Collaborative mindset to work cross‑functionally with sales, product, and engineering. Key Responsibilities: - Conduct technical consultations to elicit customer requirements and design implementation strategies. - Guide customers through API integration and troubleshoot deployment issues. - Create architectural diagrams, implementation plans, and detailed technical documentation. - Deliver product demonstrations and conduct implementation workshops. - Train customers on APIs, product features, and best practices. - Gather and relay customer feedback to product and engineering teams. - Provide post‑implementation support and ongoing technical guidance. Required Skills: - API concepts & web technology fundamentals (REST, JSON, OAuth, etc.). - Documentation of requirements, solutions, and integration guides. - Strong analytical and problem‑solving skills. - Ability to communicate complex technical details to non‑technical stakeholders. - Collaborative teamwork across sales, product, and engineering. - Basic coding proficiency in Python or JavaScript (preferred). - Familiarity with identity verification, KYC/KYB, or financial compliance (nice to have). Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent technical experience. - Relevant certifications (e.g., AWS Certified Developer, API Design, or security certifications) are a plus.

New york, United states

Hybrid

Junior

08-10-2025

Company Name

Baselayer

Job Title

Senior Backend Engineer

Job Description

**Job Title:** Senior Backend Engineer **Role Summary:** Design, develop, and maintain high‑performance, secure backend services and APIs that power KYC/KYB workflows and AI/ML‑enhanced identity solutions. Ensure scalability, reliability, and compliance in a fast‑growing fintech environment. **Expectations:** - 2‑5 years of professional backend development experience. - Strong proficiency in Python and building RESTful APIs. - Proven ability to work with large‑scale data pipelines and optimize performance. - Demonstrated interest and basic knowledge of AI/ML integration, especially LLMs. - Commitment to security, privacy, and regulatory compliance (KYC/KYB). - Detail‑oriented, clean‑code mindset with strong problem‑solving skills. - Proactive, self‑starting attitude and comfortable operating in a high‑trust, ownership‑driven team. **Key Responsibilities:** - Develop, test, and maintain RESTful APIs and integrate them with diverse data sources. - Architect core backend services supporting KYC/KYB processes, leveraging knowledge graphs and LLMs. - Build and sustain scalable data pipelines for high‑volume identity data processing. - Collaborate with AI/ML teams to embed models (e.g., RLHF, LoRA) into backend workflows. - Design platform infrastructure to accommodate future AI/ML initiatives. - Implement security and compliance controls aligned with industry standards. - Optimize system performance and conduct thorough testing, debugging, and monitoring. **Required Skills:** - Python (advanced) and related frameworks (e.g., FastAPI, Django). - RESTful API design and implementation. - Experience with data processing tools (e.g., SQL, NoSQL, message queues). - Understanding of cloud environments and containerization (Docker, Kubernetes preferred). - Knowledge of security best practices and regulatory compliance (KYC/KYB). - Familiarity with AI/ML concepts, LLM integration, and model deployment pipelines. - Version control (Git) and CI/CD workflows. - Strong analytical, communication, and collaborative abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator) are a plus but not mandatory.

San francisco, United states

Hybrid

Senior

08-10-2025