Senior AI Engineer, Location AI

🔥 14 hours ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mapbox

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

🚘 Automotive

📦 Logistics

✈️ Travel

💰 Venture Round on 2021-04

Automotive • Logistics • Travel

Mapbox is a leading provider of custom online maps, offering APIs and SDKs that allow developers to integrate highly customizable maps into their web and mobile applications. Mapbox's services enable real-time data updates, immersive mapping experiences, and advanced navigation features tailored to specific industries like automotive and travel. Their solutions include Mapbox Studio for map design, Mapbox GL JS for web maps, and various SDKs for mobile and automotive navigation. Companies rely on Mapbox for applications in real estate, logistics, and business intelligence, benefiting from real-time, high-quality geospatial datasets and tools.

📋 Description

• Define product behavior, measurement frameworks, and evaluation systems for non-deterministic behavior • Formulate product hypotheses and validate them with relevant signals • Define correct results, assemble datasets, and gate changes on regression results • Continuously evaluate APIs, SDKs, data representations, and reference applications from end-user perspectives • Identify misuse, integration anti-patterns, and product gaps; recommend and implement fixes • Own MVP delivery against an agreed technical design while balancing perfection with useful increments • Build data pipelines and tooling for ingestion, conflation, entity resolution, quality checks, and batch/streaming jobs • Track and evaluate external datasets, models, benchmarks, published research, and open-source releases • Design feedback loops and instrumentation to reproduce failures and convert recurring issues into evaluation cases • Design model/tool boundaries and build or improve model harnesses • Optimize latency and cost per request through streaming, partial results, caching, model routing, and prompt structure • Build internal CLI, MCP, and related tools; share reusable components across teams • Raise engineering standards through code and design reviews and teach evaluation practices • Help answer unresolved technical questions in the field • Participate in a 24/7 on-call rotation to maintain system availability

🎯 Requirements

• Bachelor's degree in a 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 in systems with error budgets, on-call rotations, and customer-visible regressions • Data engineering depth: SQL and at least one distributed processing framework • Experience with pipelines where incorrect records matter more than processing speed • Fluency with tool calling and agent orchestration, including stale context, hallucinated arguments, silent partial success, and unbounded loops • Strong Python or TypeScript skills • Comfort reading code in other programming languages • Experience or deep understanding of designing evaluations for non-deterministic systems • Ability to describe a dataset built and the failure it caught • Working knowledge of more than one agent harness • Experience diagnosing latency in a distributed request path • Comfort with ambiguity and judgment to ship narrow, functional solutions • Participation in an on-call rotation, including possible immediate response outside normal working hours and weekends • Must be able to work remotely from any city in Germany

🏖️ Benefits

• Supportive health care • Parental leave • Flexible work arrangements • Environment of teaching and learning • Private health, dental, and income protection plans tailored to regional statutory benefits • Family care, maternity and paternity leave policies • Lifestyle Spending Account contributions supporting health, wellness, and personal growth • Mental health support for employees and dependents • Paid time away, company holidays, and generous absence policies • Dedicated paid volunteering time in addition to standard PTO • Hybrid/remote flexibility to work from home or periodically from an office where applicable