Backend Software Engineer, Camera & Photos Tools & AI Team

What you'll do

• Design and operate model-serving infrastructure for LLMs, vision pipelines, and agentic workflows beyond simple third-party API calls.
• Develop Python REST API backends and data models to manage large-scale image, video, and metadata catalogs.
• Build and scale asynchronous compute jobs to handle long-running analysis tasks and heavy workloads.
• Implement prompt engineering strategies and RAG systems using vector storage for internal data retrieval.
• Manage the full lifecycle of AI/ML models including versioning, monitoring, and balancing cost and latency trade-offs.
• Translate complex requirements from scientists and engineers into reliable backend services for imaging workflows.
• Ensure the reliability, performance, and observability of production systems used by cross-functional teams.

What we're looking for

• BS in Computer Science, Computer Engineering, or equivalent experience.
• 4+ years of professional software engineering experience shipping production backend systems.
• Strong proficiency in Python with a track record of owning production backend services end to end.
• Strong understanding of REST API design and experience building and operating production REST services at scale.
• Demonstrated experience hosting and serving AI/ML models in production, including infrastructure for inference, scaling, and monitoring.
• Working knowledge of asynchronous job execution patterns and experience scaling these systems under load.
• Solid understanding of distributed-systems fundamentals and software engineering fundamentals like data modeling and testing.
• Strong written and verbal communication skills to work effectively with partners outside of engineering.
• Experience with self-hosted GPU inference frameworks, LLM APIs, or vector databases (preferred).
• Familiarity with MLOps principles, container orchestration, Redis, or Solr (preferred).