About Mapbox
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
Role Overview
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. This role is scoped by skill rather than by product. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.
Responsibilities
- Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior.
- Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user.
- Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments.
- Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current.
- Track and pull external datasets, models, and benchmarks from published research and open-source releases.
- Design feedback loops so that using a product generates data that improves it.
- Design the boundary between a model and the tools it calls.
- Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure.
- Build the internal harnesses and tools your team needs to iterate quickly.
- Raise the bar on your team through code and design review, and bring other engineers up on eval practice.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7.
What We Offer
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
- Culture: We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
Requirements
- Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs.
- 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions.
- Direct experience or deep understanding of designing evaluations for non-deterministic systems.
- Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one.
- Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops.
- Working knowledge of more than one agent harness.
- Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in.
- Experience diagnosing latency in a distributed request path.
- Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear.
- Clear written communication.
Nice to have traits
- 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.
- 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.
