Sr. AI Systems Engineer
AiFi
AiFi is a spatial intelligence platform that helps businesses understand and operate physical spaces using real‑time AI. Built on a camera‑first, privacy‑conscious foundation, our platform transforms physical environments into actionable systems—improving operations, elevating customer experiences, and unlocking measurable business value. AiFi is building toward a future where the physical world is as searchable, observable, and understandable as the digital one.
Across grocery and convenience, venues, specialty retail, quick-service restaurants, and travel hubs, AiFi helps customers solve problems such as fraud prevention, out-of-stock and planogram optimization, 24/7 commerce enablement, no-line premium entry, omnichannel analytics, labor optimization, order accuracy, and frictionless access. With global deployments across diverse formats, AiFi is building a powerful real-world data foundation that continually improves the intelligence and adaptability of its platform.
Responsibilities
- Lead the development of scene understanding systems responsible for calibrating spaces that contain hundreds of cameras.
- Translate state-of-the-art research into scalable, maintainable engineering systems.
- Manage ‘scene calibration’ technologies within the Scene Understanding Team by facilitating backlog refinements, communicating with stakeholders,,and collaborating on roadmaps with product managers.
- Work closely with other technology departments to deploy, monitor, and support Scene Understanding Services in hundreds of stores.
- Promote and enforce best practices in software development and project management.
- Mentor engineers and contribute to creating a collaborative remote team environment.
- Stay current with emerging AI trends and technologies to assess their potential applications in current and future projects.
Required Qualifications
- Bachelor's or master's degree in computer science or a related field
- 6+ years of experience as a Software Engineer
- Extensive experience in Python
- Proven experience working with RESTful APIs and OpenAPI, gRPC, and Protobuf, with knowledge of their design best practices and common libraries
- Proven experience interfacing with AI projects, with a focus on computer vision and geometry
- Proven experience in production.
- Excellent leadership, communication, and management skills
Additional Qualifications (desired)
- Experience with asynchronous processes and event-driven architectures
- Experience with containerized applications, Kubernetes and Docker
- Experience with Azure
- Experience with multi-view stereo technologies (turning images into 3D), such as Colmap
- Experience with SLAM or Structure from Motion
- Experience in a fast-paced, product-driven startup environment
- Experience with Golang
- Experience in the autonomous retail industry or a similar domain
- Experience in MLOps, DevOps, and build/release/deployment automation.