Hybrid AI Engineer

Posted 2 hours ago

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About the role

  • Responsible AI Engineer at SeekOut creating responsible AI frameworks and governance tooling. Collaborating across teams to ensure ethical AI deployment and compliance with regulations.

Responsibilities

  • Design, build, and maintain SeekOut’s responsible AI framework, including bias testing protocols, model documentation (model cards), fairness metrics, and audit trails.
  • Own the Warden AI audit platform: configure dashboards, generate compliance reports, and build enablement materials for internal and customer-facing use.
  • Develop customer-facing AI governance materials: transparency reports, explainability documentation, compliance guides, and trust center content.
  • Monitor the evolving AI regulatory landscape (EU AI Act, NIST AI RMF, state-level AI hiring laws, EEOC guidance) and translate requirements into actionable engineering and product specifications.
  • Build internal enablement materials and training for Sales, Customer Success, and Product teams on responsible AI, regulatory requirements, and how to discuss these topics with customers.
  • Partner with Engineering to implement technical controls for bias detection, adverse impact testing, and algorithmic auditing in SeekOut’s AI-driven talent products.
  • Create and maintain a compliance tooling roadmap—identifying where automation and tooling can reduce manual legal/compliance overhead.
  • Support customer-facing conversations around AI ethics, bias mitigation, and compliance, including RFP responses, security reviews, and customer audits.
  • Collaborate with Engineering and Security teams on data governance as it relates to AI model training and inference.
  • Contribute to SeekOut’s thought leadership on responsible AI in HR technology through blog posts, white papers, and conference presentations.
  • Use AI-native workflows to automate regulatory monitoring, generate compliance documentation, and build scalable enablement content—SeekOut expects this role to be a model for how AI amplifies individual impact.
  • Develop and deploy AI-powered tools for bias audit automation, regulatory change tracking, and customer trust reporting—continuously expanding what one person can accomplish through intelligent tooling.

Requirements

  • 3–7 years of experience in AI governance, responsible AI, AI ethics, compliance engineering, or a related technical role.
  • Strong understanding of AI/ML concepts (supervised learning, NLP, bias metrics, fairness constraints) with the ability to work directly with engineering teams.
  • Familiarity with AI regulatory frameworks: EU AI Act, NIST AI RMF, NYC Local Law 144, Illinois AIPA, EEOC guidance on AI in hiring.
  • Experience with AI audit and bias testing platforms (e.g., Warden, FairNow, or similar tools).
  • Experience developing model documentation, algorithmic impact assessments, or bias audit methodologies.
  • Excellent customer-facing communication skills—ability to translate complex AI and regulatory concepts into clear, confident conversations with customers, prospects, and internal stakeholders. Strong written communication skills for governance documentation, with the expectation that AI tools will be leveraged to accelerate content creation.
  • Experience in HR technology, talent acquisition, or workforce analytics is a strong plus.
  • Comfort using AI coding tools (e.g., Claude Code, Copilot) to build audit tools, bias testing scripts, and compliance automation—deep programming expertise is not required, but the ability to direct and validate AI-generated code is essential.
  • Experience with AI explainability tools and fairness toolkits is a plus.
  • Understanding of data privacy regulations (GDPR, CCPA) as they intersect with AI systems.
  • Self-starter who thrives in ambiguity—comfortable building a function from scratch in a fast-paced startup environment.
  • Deep personal fluency with generative AI tools and a track record of using AI to multiply your own output; you don’t just understand AI—you live it.

Benefits

  • Health benefits including medical, dental, vision, life insurance, health savings and flexible spending accounts
  • Stock Options
  • Stipends for home office, education, and wellness
  • Flexible paid time off
  • Company paid holidays, including Juneteenth and Indigenous People’s Day
  • Paid parental leave for birthing and non-birthing parents
  • Retirement plan with company match
  • In-office perks include transportation & parking subsidies, daily lunch service, snacks & beverages, and wellness room

Job title

AI Engineer

Job type

Experience level

Mid levelSenior

Salary

$140,000 - $215,000 per year

Degree requirement

No Education Requirement

Location requirements

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