Hybrid AI Engineer Lead

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About the role

  • AI Engineering Lead at Delve Deeper managing the SSS Agent architecture and data engineering. Leading technical delivery, design, and evaluation frameworks with a focus on AI applications and data quality.

Responsibilities

  • Design and implement the end-to-end architecture for the SSS Agent
  • Own the design of the data layer that powers agent decisions, including ingestion, normalization, storage, schema discipline, and data freshness
  • Define evaluation frameworks, success thresholds, and regression suites before any feature enters development
  • Lead engineers as a hands-on technical lead
  • Implement logging, tracing, monitoring, and alerting across model behavior, pipeline health, API usage, and user-facing failures

Requirements

  • 7+ years across software engineering, data engineering, ML engineering, or AI platform work, including direct ownership of production systems
  • 2+ years leading technical delivery for complex systems, with evidence of setting standards and raising execution quality
  • Strong Python and SQL, plus hands-on experience building APIs, services, and robust data pipelines
  • Deep experience with ETL or ELT design, schema management, and data platform reliability in production
  • Hands-on experience building or operating LLM applications, agentic systems, tool-calling workflows, or comparable AI application layers
  • Experience with cloud infrastructure and containerized deployments (AWS, Azure, or GCP; Docker and ideally Kubernetes)
  • Strong grounding in software engineering discipline, including testing, code review, CI or CD, observability, and incident response
  • Experience with workflow orchestration and data tooling such as Airflow, Dagster, Prefect, dbt, Kafka, or similar platforms (strongly preferred)
  • Experience with vector databases, retrieval systems, similarity search, and long-context data handling (strongly preferred)
  • Familiarity with MCP, or equivalent integration layers that connect AI systems to enterprise tools and APIs (strongly preferred)
  • Experience with performance marketing, ad-tech, or media platform APIs such as Google Ads, Meta, DV360, Semrush, or SerpAPI (strongly preferred)
  • Comfort translating messy business logic into precise technical rules without flattening the nuance (strongly preferred)

Benefits

  • Hybrid working model: three days in the office (Tuesday to Thursday)
  • A competitive salary with opportunities for growth
  • Private medical care at Medicover
  • Multisport card
  • Annual education budget of $250
  • Generous employee referral program
  • Catered office lunch every Tuesday
  • Snacks and occasional breakfasts available in the office

Job title

AI Engineer Lead

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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