Senior AI Engineer, Location AI

Mapbox; United Kingdom; Hybrid; GBP 100,000 - 150,000; Full time

Benefits offered by this job

Hybrid/Remote options

Private health and dental coverage

Paid time off & holidays

Volunteer time off

Job summary

Mapbox is seeking an experienced AI/Software Engineer to own the design and delivery of multi-component AI systems. You will own MVPs, build data pipelines, and evaluate external data and benchmarks to guide when to adopt existing solutions.

You will work across teams to ship high-quality features with scalability and latency goals in mind. You will design evaluation frameworks for non-deterministic outputs, craft measurement strategies, and ensure on-call readiness while collaborating across

Qualifications

• BS in a STEM field with 5+ years of software engineering experience and production ownership.
• 2+ years shipping LLM-backed features in production with error budgets and on-call rotations.
• Experience designing evaluations for non-deterministic systems and datasets.
• Deep SQL and at least one distributed processing framework.
• Fluency in Python or TypeScript and reading multi-language codebases.
• Experience diagnosing latency in distributed request paths.
• Comfort with ambiguity and shipping narrow, working solutions.

Responsibilities

• Define product designs, build measurement frameworks, and gate changes on regression results.
• Run continuous evaluation of APIs, SDKs, and data representations from the end-user perspective.
• Own the MVP against a north-star design, balancing speed and technical quality.
• Build data pipelines for ingestion, conflation, and entity resolution with quality checks.
• Track external datasets and benchmarks to decide when to adopt existing solutions.
• Design feedback loops so product usage creates data to improve it.
• Define the model vs. tool boundary and manage the model harness.
• Target latency and cost per request with caching and routing strategies.
• Create internal tooling and harnesses (CLI, MCP) to accelerate iteration.
• Raise the bar through code and design reviews and evangelize eval practices.
• Participate in on-call rotations to keep systems available 24/7.

Skills

LLM-backed features

Python

TypeScript

SQL

Data engineering

Agent orchestration

Tool calling

Distributed systems

On-call ownership

Education

Bachelors degree in STEM

Tools

MCP

Eval harness

CI/CD pipelines

Job description

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.

What you'll do

This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. 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. You should expect to move between teams and tech stacks as the work demands.

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.

In this role, you will:

• Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results.

• Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land.

• 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. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own.

• Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases.

• Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched.

• Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure.

• Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams.

• Raise the bar on your team through code and design review, and bring other engineers up on eval practice.

• Some of the technical questions in this area are still open. You will help answer them.

• Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.

What We Believe are Important Traits for This Role

• 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. You can describe a dataset you built and the failure it caught.

• 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, and opinions about where each of them is weak.

• 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. Mapbox is distributed across time zones and we make most decisions in documents and Slack.

Nice to have traits for this role

• Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources.

• Public API or SDK design experience, particularly for developers you never talk to.

• 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, where the customer finds the gaps before you do.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

• We value high-performing creative individuals who dig into problems and opportunities.

• We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.

• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

How we support you

• 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.

By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.

We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

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