Note: The job is a remote job and is open to candidates in USA. PeopleLoop is an AI-powered experience that modernizes benefits and PEO solutions for people-driven companies. In this Staff-level AI Engineer role, you will build AI features embedded into the product experience, focusing on integrating large models and optimizing workflows to enhance user interactions. You will also provide technical leadership, mentor engineers, and collaborate with cross-functional teams to define AI standards and practices.

Responsibilities

• Build AI-powered product experiences that help users complete complex workflows faster and with less friction
• Work directly with model endpoints and APIs, integrating hosted LLMs into production systems
• Build and improve ingestion pipelines that use AI to extract and structure data from plan documents and related inputs
• Design AI features that produce grounded, traceable, and auditable outputs
• Use models and structured data to power tailored recommendations and decision support for employees, admins, and internal operators
• Develop systems that combine prompts, retrieval, and internal tools to produce useful outcomes
• Create evaluation workflows to measure accuracy, grounding, completeness, and user impact
• Design workflows where the model assists users, but humans review, approve, and correct when needed
• Partner closely with Product, Design, and domain experts to identify where AI adds the most value, define acceptable failure modes, and turn ambiguous workflows into production-ready features
• Set engineering standards for AI feature development, mentor other engineers, and help establish the patterns that will scale AI across the product

Skills

• 7+ years of software engineering experience, with 2+ years at Senior or Staff level owning cross-team initiatives
• Strong production experience building AI-powered product features using large language models or similar foundation models
• Experience integrating and optimizing model endpoints in production
• Strong Python experience, with working knowledge of modern backend or API development
• Experience shipping features that use LLMs, retrieval, tool use, prompts, or structured outputs
• Comfort working with large models and applying them to real product workflows
• Experience improving latency, cost, reliability, and quality of AI systems
• Ability to evaluate model performance with practical product metrics and user feedback
• Strong collaboration skills and ability to work across Product, Design, and Engineering
• Comfort building systems that balance automation with human review and control
• Bachelor's degree required, preferably in Computer Science, Engineering, or a related technical discipline; equivalent experience will be considered
• Experience building AI features in benefits, HR tech, PEO, payroll, insurance, or other compliance-heavy domains
• Familiarity with hosted LLM providers and model APIs
• Experience with prompt engineering, retrieval-augmented generation, or agentic workflows
• Experience with evaluation frameworks, observability, and feedback loops for AI products
• Experience with structured extraction from documents or forms
• Familiarity with graph-based or structured domain modeling
• Human-in-the-loop systems, review queues, or approval workflows
• Experience with multi-tenant or privacy-sensitive production systems
• Comfort with product experimentation and rapid iteration on AI features

Benefits

• Base salary
• Performance-based bonus programs
• Equity
• Comprehensive benefits package

Company Overview