Senior Staff Software Engineer

Quick Facts

• Role: Senior Staff Software Engineer (HR domain AI architecture)

• Focus: Model-driven, agentic, and conversational experiences for HR scenarios; evaluation and safety infrastructure; production-quality engineering

Description

As a Senior Staff Engineer in HRSD, you set the technical direction for model-driven capabilities across the HR domain, including agentic and conversational experiences that interpret intent, reason over HR context, and act on a user’s behalf. You own architecture, standards, and evaluation infrastructure so multiple teams can ship these experiences safely. This is an engineering role focused on building and evaluating probabilistic AI behaviors in production—without training foundation models.

Responsibilities

• Define AI architecture for the domain: agent decomposition/composition, reasoning placement, context assembly/bounding, tool exposure, and delegated autonomy

• Own multi-release model selection/migration and orchestration strategy; manage build-vs-adopt and cost/latency/quality tradeoffs

• Establish the autonomy boundary: enforce which HR actions may be automated vs. require human decision points, especially for pay, employment status, restricted records, and employee-relations

• Provide a shared instruction and tool description surface as a versioned, upgrade-safe contract with extension points, deprecation paths, and compatibility guarantees

• Build evaluation infrastructure: golden datasets, multi-turn suites, judge calibration, CI gates, and drift detection; extend coverage for HR-specific failure classes (access violations, cross-scope leakage, jurisdiction/policy variants)

• Ensure production quality and safety with observability for containment, hallucination/tool-selection errors, unsafe actions, and injection vectors; design diagnosis without exposing restricted conversation content

• Convert ambiguous problems into testable specs; define agent-assisted delivery standards, review expectations, and verification harnesses

• Lead hands-on on the hardest integrations, risky migrations, and prototypes that resolve architectural debates

• Partner across product, engineering, and design to translate business needs into robust technical designs

Requirements

• 7+ years of software engineering with demonstrated technical direction adopted beyond your immediate team

• Hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building the evaluation that verifies them

• Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool/function calling, and structured output enforcement, including at least one production migration

• Entitlement-aware data handling: per-user access enforcement in retrieval and tool layers, role scope separation, and restricted record handling under audit

• Evaluation experience used by engineers beyond yourself: dataset curation, judge calibration, CI gating, drift detection

• Strong system design, APIs, data modeling, and testing skills with a high quality mindset across front-end, server-side, and relational data

• Accountable use of AI coding assistants and agents

• On-call and incident-command experience for customer-facing systems with ownership of systemic fixes

• Software stack experience including Java, JavaScript/TypeScript, React; ability to quickly learn new tools/frameworks

• Bachelor’s degree in CS/software engineering or related technical field, or equivalent practical experience

Benefits

• Health plans, including flexible spending accounts

• 401(k) Plan with company match

• ESPP

• Matching donations

• Flexible time away plan and family leave programs

• Base pay and equity (when applicable), plus variable/incentive compensation (details vary by location)