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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Software Engineer - People Systems - **Company:** Klaviyo, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Applicant Tracking Systems, Application Frameworks, Software as a Service, Information Engineering, Human Resources Information System (HRIS), Python (Programming Language), OpenAI, SQL Databases, Systems Integration, Management of Software Versions, AI Infrastructure, Klaviyo Email and SMS Marketing, Application Enhancement Tool, Large Language Models, Prompt Engineering, Zapier, HR Software, Build Management, AI Platforms, Nintex, Claude, Google Gemini, Workday - **Published:** October 3, 2026 - **Apply:** https://www.dice.com/job-detail/845f6a1f-c7a5-4ad3-ac7d-c4cb864109be ## About the Role * Passion and Curiosity to experiment and reimagine People workflows * 5+ years of engineering or data engineering experience, with 2+ years building AI/ML or LLM-powered delivering tangible business outcomes * Proven ability to set technical direction and build 0 1 systems with meaningful organizational impact * Strong experience with but not limited to: * Python, SQL, and modern APIs * LLM platforms (OpenAI, Claude, Gemini, etc.) * LangChain and LangGraph * Designing AI-powered workflows, agents, or copilots Experience integrating with enterprise SaaS systems (HRIS, ATS, etc.) Experience designing scalable systems, automation frameworks, and internal tools Experience working with sensitive data and implementing responsible AI practices Strong ability to translate ambiguous business problems into scalable technical solutions Bonus Points * Experience with People/HR systems (Workday, Greenhouse, Sana) * Familiarity with workflow automation platforms (e.g., n8n, Workato, Zapier) * Experience in high-growth SaaS environments * Contributions to AI governance, internal AI platforms, or experimentation frameworks ## Description * Reimagine core People workflows (recruiting, onboarding, performance, daily tasks) through an AI-first lens, not just incremental automation * Design and build AI-powered workflows, copilots, and agents that automate and augment People processes across the employee lifecycle * Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and internal Klaviyo platforms * Partner with our internal IT AI team and establish best practices for: * Prompt engineering and evaluation * LLM system design and orchestration * Versioning, testing, security, and observability of AI systems Enable AI Use Cases (copilots, assistants, automated workflows) that drive faster execution and better decision-making for People teams Collaborate with stakeholders to translate business problems into scalable AI solutions Driving an AI-First Operating Model * Identify high-leverage opportunities to replace manual workflows with AI-native solutions * Define and track success metrics tied to efficiency gains, time savings, and operational effectiveness * Help the People organization shift toward AI-augmented ways of working * Act as a thought partner to People leadership on what's possible with AI, not just what's requested * Responsible AI, Privacy & Governance: Design systems that handle sensitive employee data with security, privacy, and trust at the core * Partner with Security, Legal, and Global IT to ensure compliant and ethical AI deployment Cross-Functional Collaboration & Enablement * Work closely with Security, IT, and GTM Systems to align on shared AI infrastructure and standards * Contribute to and adopt company-wide AI patterns, tooling, and best practices * Enable People teams to leverage AI by building: * Reusable frameworks and workflows * Playbooks and training materials Help non-technical stakeholders confidently use and iterate on AI-powered tools Technical Leadership * Advocate for scalable, well-governed AI systems that integrate cleanly into Klaviyo's broader tech ecosystem * Act as a key voice in shaping how Klaviyo becomes AI-first internally, starting with People systems ## Related Videos - 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