AI Engineer

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    "description": "<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">WHO WE ARE</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Delve Deeper is a performance media agency focused on the charity and nonprofit sector, partnering with organizations that invest $5M–$20M annually in media. We help mission-driven teams maximize impact through advanced digital strategies that drive measurable, scalable results.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">Our expertise includes advanced analytics, intent-based audience segmentation, full-service media management, and personalized creative—delivering a fully integrated, data-driven approach to growth.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">More than a vendor, we serve as a strategic partner, helping organizations solve complex media challenges and turn them into clear outcomes. With decades of leadership experience, Delve Deeper is a trusted voice in the charity space.</span></p>\n<p><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt\">We’ve also been named Built In Colorado’s “Best Places to Work” for five consecutive years, reflecting a culture that values performance, growth, and people. As a privately owned company, we move quickly, support our team holistically, and create meaningful opportunities for advancement.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">ROLE OVERVIEW</span></p>\n<p><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Dedicated individual contributor focused entirely on building and maintaining a multi-agent AI system that automates performance media trading decisions. This is not a generalist developer role. You will work within a complex multi-agent codebase, operate under strict evaluation-first protocols, and develop deep enough understanding of the business domain to make sound implementation decisions without constant oversight. Data errors have direct financial consequences for clients — engineering quality is non-negotiable.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">CORE RESPONSIBILITIES</span></p>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">Agent Development: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">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.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">Data Integration: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">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.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">Evaluation-First Development: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">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. Evaluation is not a post-build step.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">Pipeline &amp; ETL Work: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Build and maintain ETL/ELT pipelines supporting daily automated callouts and weekly optimisation reporting. Own data freshness and pipeline reliability for the agents you are responsible for.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">MCP Connector Work: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Operate within and extend the MCP connector library for external platform APIs. Handle rate limits, retries, and failure modes — connectors must be resilient in production, not just in testing.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">Human-in-the-Loop Workflows: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Build and maintain Slack-based approval flows — agent callouts, feedback capture, exception alerts, and operational notifications. These are the primary interface between the AI system and human decision-makers.</span></li>\n</ul>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt; font-weight: bold\">Production Reliability: </span><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Own the reliability of your agents in production. Monitor output quality, respond to incidents, drive root-cause fixes rather than surface patches. Alert the Lead AI Engineer early on scope or complexity that affects delivery.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">CANDIDATE PROFILE</span></p>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">4+ years across software, data engineering, ML, or AI platform work with direct ownership of production systems</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Experience with media platform APIs (Google Ads, Meta, DV360, Semrush, SerpAPI)</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Strong Python and SQL — production-grade, not just analytical scripts</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">MCP or equivalent integration layer experience</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Hands-on experience building or operating LLM applications, agentic systems, or tool-calling workflows</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Workflow orchestration tooling: Airflow, Dagster, Prefect, dbt</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">ETL/ELT pipeline design and data reliability in production — schema management, contract enforcement, freshness monitoring</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Cloud infrastructure: AWS, GCP, or Azure; containerized deployments (Docker)</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Experience defining evaluation frameworks and success criteria for model outputs</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Slack API and webhook-based workflow automation</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Familiarity with vector databases and RAG patterns for long-context data retrieval</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Experience shipping systems that mix model logic, deterministic business rules, and human approval flows</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">LLM evaluation tooling — token cost tracking, hallucination detection, model benchmarking</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">THIS ROLE IS NOT</span></p>\n<ul>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Generalist developers without LLM or agentic system experience</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Prompt engineering work without responsibility for data quality and pipeline reliability</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Low-code automation builders (n8n, Make, Zapier)</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">A role with loose evaluation standards or optional quality gates</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Research-only AI scientists without production ownership</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">A role where shipping late with a perfect solution is acceptable</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">Candidates who need architecture decisions made for them before starting</span></li>\n<li><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\">A role without direct accountability for production incidents on your agents</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: #444444; font-family: Arial,sans-serif; font-size: 10pt\"><span style=\"color: rgb(0, 180, 166); font-family: Arial, sans-serif; font-size: 8pt; font-weight: bold\">WHAT WE OFFER</span></span><br></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Hybrid working model: three days in the office (Tuesday to Thursday)</span></li>\n<li><span style=\"font-size: 10pt\">A competitive salary with opportunities for growth</span></li>\n<li><span style=\"font-size: 10pt\">Private medical care at Medicover</span></li>\n<li><span style=\"font-size: 10pt\">Multisport card</span></li>\n<li><span style=\"font-size: 10pt\">Annual education budget of $250</span></li>\n<li><span style=\"font-size: 10pt\">Generous employee referral program</span></li>\n<li><span style=\"font-size: 10pt\">Catered office lunch every Tuesday</span></li>\n<li><span style=\"font-size: 10pt\">Snacks and occasional breakfasts available in the office</span></li>\n</ul>",
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