Sr. AI Systems Engineer

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.