Salary
$120k – $140k per year
Location
Remote (United States)
Seniority
Staff
Employment
Full-Time
Removed from the employer's board on Nov 3, 2026. First seen by Alion on Nov 3, 2026.
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Participle is the first LMS that gets smarter every semester. AI-powered grading, adaptive study tools, and FERPA-compliant analytics for professors, students, and institutions.
Note: The job is a remote job and is open to candidates in USA. Participle is building an AI-native learning management system. The Lead AI Systems & Infrastructure Engineer will own core technical architecture, data pipelines, and cloud deployment, leading development of AI systems, backend services, LMS integrations, and security and compliance capabilities.
Responsibilities
- Go Backend Architecture: Design and construct high-performance, low-latency backend microservices and API endpoints in Go
- Data Pipeline & RAG Architecture: Design, optimize, and maintain RAG pipelines with multimodal embeddings (processing PDF syllabi, assignments, and lectures), while training bespoke learning gap models and adaptive algorithms
- Cloud Infrastructure & Scalability: Oversee AWS cloud infrastructure, containerization (Docker), and automated CI/CD deployment pipelines capable of supporting 10,000–40,000+ concurrent users
- LMS Integration & Migration Pipelines: Develop automated agentic ETL/data migration tools to extract, transform, and load course structures across major legacy platforms (Canvas, Blackboard, Brightspace, Moodle) via LTI and enterprise APIs
- Compliance & Security Architecture: Ensure system-wide compliance with FERPA, ADA/WCAG accessibility standards, and manage enterprise security standards (SOC 2, HECVAT, VPAT) alongside SSO integrations
Skills
- Strong command of Go (or demonstrated capability to pick it up immediately to own our Go backend), along with proficiency in Python for data/ML pipelines
- Demonstrated capability building production RAG pipelines, managing vector/multimodal databases, and fine-tuning domain-specific models
- Hands-on experience with AWS, Docker, high-concurrency scaling, IAM/SSO, and privacy-sensitive telemetry handling
- No arbitrary years-of-experience requirement—if you have the technical mastery to build and execute on this stack, you fit the role
Benefits
- Up to 4.0% equity stake
- Remote-first culture with flexible hours
- High-impact founding team role with direct influence over company trajectory and technical strategy
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