Senior AI Engineer - Hybrid-Remote for Location Tech

United States Digital Space LLC

United Kingdom

Hybrid

GBP 90,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Private health plan
Flexible work arrangements
Parental leave policy
Mental health support
Paid time off & holidays

Job summary

United States Digital Space LLC is a leading real-time location platform seeking an experienced engineer to own the technical design and delivery of multi-component AI systems. You will define product specifications, measurement frameworks, and evaluation systems for non-deterministic behavior, while building scalable data pipelines and tools.

Expect cross-team collaboration, on-call duties, and continuous delivery.

Qualifications

  • Bachelor’s degree in STEM and 5+ years of software engineering with production ownership of services/pipelines/SDKs.
  • 2+ years shipping LLM-backed features to real users in systems with error budgets and on-call rotations.
  • Experience designing evaluations for non-deterministic systems and describing datasets built to catch failures.
  • Data engineering depth: SQL and at least one distributed processing framework and pipelines where a bad record matters.

Responsibilities

  • Define product work, measurement framework, and evaluation systems for non-deterministic behavior.
  • Run continuous evaluation of APIs, SDKs, data representations, and applications from end-user perspective; identify gaps and fixes.
  • Own MVP against north-star design, balance perfection with shipping useful increments.
  • Build data pipelines and tooling: ingestion, conflation, entity resolution, quality checks, batch and streaming jobs.
  • Track external datasets, models, and benchmarks; decide when to adopt existing solutions or build anew.
  • Design feedback loops so product usage generates data to improve it; instrument failures with context for reproduction.
  • Design boundary between a model and the tools it calls; maintain model harness and routing.
  • Work to latency and cost targets per request; implement streaming, partial results, caching, and model routing.
  • Build internal harnesses and shareable parts; raise the bar via code/design reviews.
  • Answer open technical questions and participate in on-call rotations for 24/7 reliability.

Skills

Software ownership
LLM-backed features
Tool calling
Agent orchestration
Python
TypeScript
Latency diagnosis
Distributed data pipelines
Data engineering
Code and design review

Education

Bachelors degree in STEM

Tools

MCP
Open-source eval harness

Job description

United States Digital Space LLC is a leading real-time location platform seeking an experienced engineer to own the technical design and delivery of multi-component AI systems. You will define product specifications, measurement frameworks, and evaluation systems for non-deterministic behavior, while building scalable data pipelines and tools.

Expect cross-team collaboration, on-call duties, and continuous delivery.

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