> Markdown version of [/jobs/ext/4627843-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4627843-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** OPSWAT INC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Applicant Tracking Systems, Business Systems, Software as a Service, Learning Management Systems, Data Infrastructure, Decision Support Systems, Human Resources Information System (HRIS), HR Analytics, Python (Programming Language), Machine Learning, Recommender Systems, Search Technologies, Automated Data Processing (ADP), Enterprise Software Applications, Chatbots, Okta, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Knowledge Engineering, HR Software, Data Pipelines, Api Management, Human in the Loop, Workday - **Published:** November 7, 2026 - **Apply:** https://startup.jobs/ai-engineer-employee-products-opswat-10710682 ## About the Role * Have 4-8 years in software, data, or AI/ML engineering and have shipped production AI systems, not prototypes. * Are fluent in Python, with hands-on work in LLMs, RAG, prompt engineering, vector databases, and AI orchestration or agentic frameworks. * Have built and maintained API integrations and data pipelines between SaaS business systems. * Have built AI applications (chatbots, recommenders, automation) and can explain what worked and why. * Can architect scalable, secure, production-grade systems and instrument success metrics. * Handle sensitive data with discipline: access controls, PII handling, auditability. * Communicate clearly with senior leadership and non-technical stakeholders, and can turn a vague business problem into a scoped build. * Are willing to travel internationally on occasion. * Hold a Bachelor's or Master's in CS, AI, Data Science, or a related field, or equivalent practical experience. Strong Differentiators * Experience building on HR platforms such as BambooHR, Greenhouse, Workday, ADP, Deel, Rippling, or similar. * People analytics experience: attrition, headcount planning, recruiting metrics, or compensation analysis. * Working knowledge of EU AI Act obligations for employment-related AI, GDPR, or SOC 2 / ISO 27001 controls. * Experience with identity and access platforms (e.g., Okta) and provisioning workflows. * Experience integrating AI into enterprise workflows in a regulated or security-first environment, not standalone demos. * Background in cybersecurity or a multinational organization with distributed legal entities. ## Description You'll sit in the Enterprise Products team, aligning with People leadership on priorities and reporting to the Head of Enterprise Applications & Digital Transformation for platform governance. Performance is split 50/50 between delivery quality and technical excellence. What You'll Own * Agentic HR Service Agent: Ship an agent that resolves employee questions from policies, the knowledge base, and case history. It routes and escalates the rest to HR Advisors with full context, and it learns from every outcome. * People Data Platform: Architect governed, integrated datasets across HRIS, ATS, LMS, identity, compensation, payroll, EOR, and FP&A systems. This becomes the trusted source of truth that every report, dashboard, and AI application runs on. * People Analytics & Decision Support: Build natural-language querying, attrition and retention modeling, headcount forecasting, recruiting funnel analytics, and compensation insights for leadership and HR Business Partners. * Employee Lifecycle Automation: Automate high-volume, cross-functional workflows across onboarding, offboarding, internal moves, document generation, and approvals, working with IT, Legal, and Finance. * Knowledge Engineering: Build AI tools that generate, maintain, and improve HR policies, procedures, and self-service content using LLMs, RAG, and semantic search. * Responsible AI & Compliance: Design role-based access, audit trails, data minimization, and human-in-the-loop controls into everything you ship, meeting SOC 2, ISO 27001, GDPR, and EU AI Act requirements.