Senior AI Engineer - Core Engine & Agentic Tools

United States Digital Space LLC

Greater London

On-site

GBP 70,000 - 140,000

Full time

5 days ago
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Benefits offered by this job

Base salary
Flexible location
Remote work abroad up to 30 days/year
Extra time off
Medical insurance allowance
Learning opportunities
Relocation support
Language classes
Meal allowance
Mental health support
Gym stipend
Internal events

Job summary

United States Digital Space LLC is seeking an AI Engineer to design and implement agentic tools from scratch, delivering them to end users and enabling smarter, faster coding with agents. You will translate product needs into production-ready tools and scale them to large user bases.

Ideal candidates have 5+ years in NLP, strong information retrieval, and experience with prompt engineering, AI agents, and production-grade systems.

Qualifications

  • At least five years of hands-on NLP experience.
  • Experience in information retrieval systems.
  • Strong experience in LLM prompt and tool engineering, as well as with AI agents.
  • Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
  • Experience building and operating production-grade software systems.

Responsibilities

  • Translate product needs into agentic tools and services and ship them to production.
  • Scale prototypes to large numbers of users.
  • Improve and test our semantic search service.
  • Build evaluation pipelines for code retrieval and coding task performance.

Skills

NLP
Information retrieval
LLM prompt engineering
Tool engineering
Python
Kotlin
Java
Production-grade software
Code intelligence

Job description

United States Digital Space LLC is seeking an AI Engineer to design and implement agentic tools from scratch, delivering them to end users and enabling smarter, faster coding with agents. You will translate product needs into production-ready tools and scale them to large user bases.

Ideal candidates have 5+ years in NLP, strong information retrieval, and experience with prompt engineering, AI agents, and production-grade systems.

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