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Salary
≈ $134k – $251k per year (Estimated)
Location
Remote (United States, India)
Seniority
Staff · 8+ years exp
Visa
Filed H-1B visas in the last two years
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on May 12, 2025. Lotiai scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Protect your digital identity in real-time. Loti AI stops AI impersonation, deepfakes, and fraud before they can spread or cause damage.

About Loti AI, Inc

Loti is a technology company that provides online protection for public figures such as major artists, athletes, executives, and creators. We specialize in identifying and removing infringing content and accounts, managing licenses, and ensuring brand protection in the era of generative AI. Our services include fake account detection, deepfake identification, and automated takedown engines.

Loti AI, Inc. is seeking a highly skilled and motivated Staff Platform Engineer to provide technical leadership in the architecture, development, and scaling of our mission-critical, API-based large-scale transaction processing systems. You will be instrumental in shaping the future of our platform, ensuring its reliability, performance, and scalability to handle massive transaction volumes. You will also mentor and guide other engineers, fostering a culture of technical excellence.

Key Responsibilities:

  • Lead the design and development of scalable, high-performance, and resilient API-driven platform components and architectures that support our large-scale data processing needs, handling 100,000+ concurrent requests.
  • Provide technical leadership and mentorship to a team of engineers, setting standards for best practices in platform engineering, API design, and transaction processing.
  • Oversee the design, implementation, and management of our core APIs and underlying transaction processing systems, ensuring data integrity, security, and compliance.
  • Work closely with product managers, architects, and other engineering teams to understand business requirements and translate them into robust and scalable platform solutions and APIs.
  • Continuously optimize platform components, APIs, and transaction processing pipelines for performance, scalability, low latency, and cost-efficiency.
  • Stay up-to-date with the latest trends and technologies in distributed systems, API design, databases, and transaction management, and drive innovation within the team.
  • Tackle complex challenges related to high-volume transaction processing, data consistency, fault tolerance, and the integration of various system components through APIs.

Qualifications:

  • 8+ years of experience in software or platform engineering with a strong focus on building and operating large-scale, high-throughput systems, including significant experience with API development. At least 3 years in a leadership or senior role, demonstrating a track record of tackling complex technical challenges.
  • Deep understanding of distributed systems principles, concurrency control, data consistency models, and fault tolerance. Strong proficiency in API design principles, RESTful services, and experience with relevant protocols and data formats. Experience with relational and/or NoSQL databases in transactional contexts is essential.
  • Strong experience with cloud platforms (AWS preferred) and cloud-native technologies relevant to building scalable and resilient platforms and APIs
  • Advanced knowledge of one or more major programming languages such as Go, C++, or Python, with a focus on building performant and reliable backend systems and APIs.
  • Proven ability to lead and mentor a team, manage complex technical projects, and collaborate effectively with cross-functional teams.
  • Strong analytical abilities with a data-driven approach to problem identification and resolution in large-scale distributed systems and API design. Experience identifying and resolving performance bottlenecks under high load is critical.
  • Excellent communication skills, with the ability to articulate complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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