Delve
201 - 500 employees
Founded 1967
🤝 B2B
🔧 Hardware
B2B • Hardware
Delve is a product innovation firm that helps startups and Fortune 500 companies bring hardware and connected products to market through advanced research, strategy, design, and engineering. The firm partners across healthcare, consumer, and commercial sectors to develop medical devices, digital health platforms, IoT wearables, and premium digital experiences, and maintains studios in Boston, Philadelphia, Madison, and San Francisco. Delve emphasizes human-centered design, regulatory and engineering rigor, and end-to-end product development from strategy through launch.
AI Engineer
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🔥 0 minutes ago
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Delve
201 - 500 employees
Founded 1967
🤝 B2B
🔧 Hardware
B2B • Hardware
Delve is a product innovation firm that helps startups and Fortune 500 companies bring hardware and connected products to market through advanced research, strategy, design, and engineering. The firm partners across healthcare, consumer, and commercial sectors to develop medical devices, digital health platforms, IoT wearables, and premium digital experiences, and maintains studios in Boston, Philadelphia, Madison, and San Francisco. Delve emphasizes human-centered design, regulatory and engineering rigor, and end-to-end product development from strategy through launch.
📋 Description
• 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
🎯 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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