Senior AI Engineer – Location AI

🔥 19 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 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, evaluation systems, datasets, and regression gates for non-deterministic AI products • 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 a technical design while balancing quality and useful increments • Build data pipelines and tooling for ingestion, conflation, entity resolution, quality checks, and batch/streaming processing • Track and evaluate external datasets, models, benchmarks, research, and open-source releases • Design feedback loops and instrumentation that provide reproducible failure context • Design model-tool boundaries and build or improve model harnesses • Optimize request latency and cost through streaming, partial results, caching, model routing, and prompt structure • Build internal CLI, MCP, and other engineering tools and share reusable components • Conduct code and design reviews and mentor engineers on evaluation practices • Investigate unresolved technical questions in AI systems • Participate in a 24/7 on-call rotation to maintain system availability

🎯 Requirements

• Bachelors 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-facing regressions • Direct experience or deep understanding of designing evaluations for non-deterministic systems • Experience building datasets and identifying failures caught by evaluation • Data engineering depth, including SQL and at least one distributed processing framework • Experience with pipelines where data correctness is critical • Fluency with tool calling and agent orchestration, including stale context, hallucinated arguments, silent partial success, and unbounded loops • Working knowledge of more than one agent harness • Strong Python or TypeScript skills and ability to read code in other languages • Experience diagnosing latency in distributed request paths • Clear written communication • Ability to participate in an on-call rotation, including immediate response outside normal working hours and weekends • Nice to have: geospatial data experience, public API or SDK design, MCP or similar tool transports, CI evaluations, automotive/IVI/CarPlay/Android Auto, voice pipelines, constrained or offline compute, and first external integrations

🏖️ Benefits

• Supportive health care • Parental leave • Flexible work arrangements • Professional development and learning opportunities • 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 • Remote work flexibility and periodic office work where applicable