Senior AI Engineer, Location AI at Mapbox

Confirmed open

Mapbox is hiring a remote Senior AI Engineer to build evaluated, production LLM and data systems for location intelligence, agents, APIs and SDKs. The listing is country-specific.

Mapbox

Location: Remote
Advertised region: Mapbox UK / United Kingdom
Employment: FullTime
Work arrangement: remote
Technologies: Python, TypeScript, SQL

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Role overview

Mapbox builds real-time location tools, data, SDKs and APIs used by developers and location-aware businesses. This senior AI engineering role works across Search and Places, Location and Navigation Intelligence, and platform capabilities for agents.

The role owns technical design and delivery of multi-component AI systems and is remote from the specified country.

Responsibilities

Define product behavior, measurement frameworks and evaluation systems for non-deterministic AI behavior.
Run continuous evaluations of APIs, SDKs, data representations and reference applications; identify integration gaps and drive fixes.
Build ingestion, conflation, entity-resolution, quality-check, batch and streaming data pipelines.
Evaluate external datasets, models and benchmarks and decide when to adopt them or build internally.
Design model and tool boundaries, feedback loops, model harnesses and agent workflows, with latency and cost targets for each request.
Build internal CLI, MCP and other tools, review designs and code, and participate in an on-call rotation for 24/7 availability.

Qualifications

Bachelor’s degree in a STEM discipline and 5+ years of software engineering experience owning production services, pipelines or SDKs.
At least 2 years shipping LLM-backed features to real users in systems with error budgets and on-call responsibilities.
Data engineering depth with SQL, a distributed processing framework and pipelines where data correctness matters.
Experience with tool calling and agent orchestration, including stale context, hallucinated arguments, partial success and unbounded-loop failure modes.
Strong Python or TypeScript skills, experience designing evaluations for non-deterministic systems, and the ability to diagnose distributed-request latency.
Helpful experience includes geospatial data, public APIs or SDKs, MCP, CI evaluations, automotive systems, voice pipelines or constrained compute.

Technology in this role

Python: Strong Python or TypeScript skills, experience designing evaluations for non-deterministic systems, and the ability to diagnose distributed-request .
TypeScript: Strong Python or TypeScript skills, experience designing evaluations for non-deterministic systems, and the ability to diagnose distributed-request .
SQL: Data engineering depth with SQL, a distributed processing framework and pipelines where data correctness .
LLM: At least 2 years shipping LLM-backed features to real users in systems with error budgets and on-call .
CAN: You can describe a dataset you built and the failure it .
Android: • Automotive, in-vehicle infotainment, CarPlay, or Android Auto .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Senior AI Engineer, Location AI position at Mapbox is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Mapbox builds real-time location tools, data, SDKs and APIs used by developers and location-aware businesses. This senior AI engineering role works across Search and Places, Location and Navigation Intelligence, and…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Define product behavior, measurement frameworks and evaluation systems for non-deterministic AI behavior.”; “Run continuous evaluations of APIs, SDKs, data representations and reference applications; identify integration gaps and drive fixes.”; “Build ingestion, conflation, entity-resolution, quality-check, batch and streaming data pipelines.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Bachelor’s degree in a STEM discipline and 5+ years of software engineering experience owning.

Benefits

Remote flexibility from the listed country, with office access where applicable.
Country-specific health, dental and income-protection coverage.
Family-care support, maternity and paternity leave policies.
Lifestyle spending support, mental-health support, paid time away and company holidays.
Paid volunteering time and a learning environment focused on teaching and development.

About Mapbox

Mapbox provides developer tools and cloud services for maps, navigation, search and geospatial data. Its platform combines map rendering, location search, routing and navigation capabilities with continuously updated geographic information that organizations can embed in applications, websites, vehicles and logistics systems.

The company serves product teams across areas such as mobility, automotive, delivery, travel and enterprise software. Its work sits at the intersection of geospatial data, developer platforms and real-time user experiences, with an engineering environment that can involve large data pipelines, SDKs, rendering, APIs and distributed systems. The job posting identifies which of those areas and tools apply to the specific position.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-10-09

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