Senior AI Engineer: Prototyping & Governance for People Ops

Referment; New York (NY); Vor Ort; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Referment is seeking a senior AI-focused engineer to lead practical AI initiatives across people functions. You will work with human capital, product management and software engineering to translate talent needs into governed AI solutions.

You will build Python prototypes, guide production integration, and monitor outcomes to inform decisions as models and tooling evolve. Mentorship and clear stakeholder communication are essential.

Qualifikationen

• A bachelor's degree and at least six years' experience across human capital, data science or technology development, including exposure to AI.
• Strong Python and data skills, with practical familiarity with LLMs, RAG, agentic architectures and modern AI development tools.
• Knowledge of statistical methods; social-science research experience is useful.
• Evidence of delivering across ambiguous, cross-functional workstreams and influencing stakeholders.
• Management experience is preferred rather than essential.

Aufgaben

• Identify high-value AI use cases with internal stakeholders and translate them into well-scoped technical solutions.
• Design and deliver Python prototypes, then partner with product and engineering teams to integrate successful features.
• Evaluate AI tools through user feedback and outcome monitoring, recommending improvements.
• Set technical direction across models, tooling, prompt design, retrieval and agentic approaches.
• Mentor junior colleagues and communicate clearly with technical and non-technical stakeholders.

Kenntnisse

Python

LLMs

Data science

Cross-functional

Mentoring

Stakeholder mgmt

Product exposure

Ausbildung

Bachelor's degree

Data/AI experience

Tools

Python tooling

LLM tooling

Jobbeschreibung

Referment is seeking a senior AI-focused engineer to lead practical AI initiatives across people functions. You will work with human capital, product management and software engineering to translate talent needs into governed AI solutions.

You will build Python prototypes, guide production integration, and monitor outcomes to inform decisions as models and tooling evolve. Mentorship and clear stakeholder communication are essential.