Senior AI Engineer, Location AI

The role

You will own the technical design and delivery of multi-component AI systems. You will build measurement frameworks, evaluation systems, and data pipelines to support Search, Places, and Navigation Intelligence products.

What you will do

• Define product functionality and build measurement frameworks and evaluation systems.
• Run continuous evaluation of APIs, SDKs, data representations, or reference applications.
• Own the MVP against a technical design.
• Build data pipelines including ingestion, conflation, entity resolution, and quality checks.
• Track and pull external datasets, models, and benchmarks.
• Design feedback loops to improve products using generated data.
• Design the boundary between a model and the tools it calls.
• Work to latency and cost targets per request.
• Build internal harnesses and tools like CLI and MCP.
• Participate in an on-call rotation.

Required qualifications

• Bachelors degree in STEM discipline
• 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs
• 2+ years shipping LLM-backed features to real users
• Direct experience or deep understanding of designing evaluations for non-deterministic systems
• SQL
• At least one distributed processing framework
• Experience with pipelines where a wrong record mattered more than a slow one
• Fluency with tool calling and agent orchestration
• Working knowledge of more than one agent harness
• Strong Python or TypeScript
• Experience diagnosing latency in a distributed request path
• Clear written communication

Nice to have

• Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources
• Public API or SDK design experience
• Experience building against MCP or similar tool transports
• Experience running evals in CI, with a commercial harness or one you built
• Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience
• Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word
• Work under constrained compute, offline, or intermittent connectivity
• Experience operating a product through its first external integrations

Benefits

• Hybrid/Remote Options
• Private health, dental, and income protection plans
• Family care, maternity and paternity leave policies
• Lifestyle Spending Account
• Mental health support for you and your dependents
• Paid time away, company holidays, and generous absence policies
• Dedicated paid volunteering time

Before you apply

• Interview process will include discussion of how you use AI in your engineering workflow

About the company

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. It provides tools to power the navigation of people, packages, and vehicles everywhere.