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Delve

A multidisciplinary product innovation firm that brings bold ideas to market.

AI Engineer

AI EngineerMachine Learning EngineerContractRemoteSeniorTeam 201-500Since 1967H1B SponsorCompany SiteLinkedIn

Location

Germany

Posted

220 days ago

Salary

0

Seniority

Senior

Job Description

AI Engineer

Delve

• Build, iterate, and maintain AI agents within the architecture and boundaries defined by the Lead AI Engineer • Own your agents end-to-end: prompt design, tool wiring, context routing, failure handling, and output validation • Integrate data components across media platforms — ingesting, normalizing to schema, and routing to the correct agent context • Work within defined data contracts and surface schema drift before it becomes a runtime failure • No feature enters development without defined success criteria and regression tests • Run prompt benchmarking, track output quality across model versions, and flag hallucination patterns or quality regressions proactively • Build and maintain ETL/ELT pipelines supporting daily automated callouts and weekly optimisation reporting • Operate within and extend the MCP connector library for external platform APIs • Build and maintain Slack-based approval flows — agent callouts, feedback capture, exception alerts, and operational notifications • Own the reliability of your agents in production • Monitor output quality, respond to incidents, drive root-cause fixes rather than surface patches

Job Requirements

  • 4+ years across software, data engineering, ML, or AI platform work with direct ownership of production systems
  • Experience with media platform APIs (Google Ads, Meta, DV360, Semrush, SerpAPI)
  • Strong Python and SQL — production-grade, not just analytical scripts
  • MCP or equivalent integration layer experience
  • Hands-on experience building or operating LLM applications, agentic systems, or tool-calling workflows
  • Workflow orchestration tooling: Airflow, Dagster, Prefect, dbt
  • ETL/ELT pipeline design and data reliability in production — schema management, contract enforcement, freshness monitoring
  • Cloud infrastructure: AWS, GCP, or Azure; containerized deployments (Docker)
  • Experience defining evaluation frameworks and success criteria for model outputs
  • Slack API and webhook-based workflow automation
  • Familiarity with vector databases and RAG patterns for long-context data retrieval
  • Experience shipping systems that mix model logic, deterministic business rules, and human approval flows
  • LLM evaluation tooling — token cost tracking, hallucination detection, model benchmarking

Benefits

  • EU BASED ONLY!

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OtherRemoteTeam 201-500Since 1993H1B No Sponsor

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Illinois + 1 moreAll locations: Illinois | Texas
$180K - $250K / year
Job Closed