Principal/Senior AI Engineer - Agent Factory

Location: Pleasanton, California, United States; Flex Work with at least 50% of each quarter spent in the office or in the field with customers, prospects, and partners, depending on the role.

Annual base salary: $246,000–$370,000 for the primary Pleasanton location; $206,000–$370,000 for additional US locations. The role may also include bonus or commission and annual refresh stock grants.

Company

hirify.global is a Fortune 500 company and AI platform for managing people, money, and intelligent agents.

What you will do

• Drive end-to-end system design, implementation, and product integration for a core domain of intelligent agents.
• Design, experiment with, and orchestrate complex agentic workflows using foundational models and modern AI APIs.
• Build scalable, production-grade software connecting AI capabilities with enterprise platforms and human workflows.
• Implement responsible and governed AI for sensitive HR and financial data, including guardrails, privacy, predictability, explainability, security layers, and evaluation mechanisms.
• Optimize product constraints such as API latency, cost, token usage, context-window efficiency, reliability, and user experience.
• Technically lead engineering workstreams, own the development lifecycle, and mentor junior-to-mid-level engineers.

Requirements

• Principal level: 10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 2+ years building production-grade LLM or agentic systems; or 7+ years in Machine Learning Engineering or AI application development with 3+ years shipping LLM-backed products.
• Senior level: 8+ years of professional software engineering experience with strong expertise in backend architecture, distributed systems, and API design, plus 1+ year building production-grade LLM or agentic systems; or 5+ years in Machine Learning Engineering or AI application development with 2+ years shipping LLM-backed products.
• Principal level: 3+ years integrating LLMs, foundation models, and modern AI APIs into user-facing enterprise products; senior level requires 2+ years.
• Principal level: 2+ years designing and scaling complex AI orchestration architectures, including multi-agent frameworks, routing layers, and advanced RAG pipelines; senior level requires 1+ year, including multi-agent frameworks, routing layers, or advanced RAG pipelines.
• Principal level: 6+ years optimizing application performance, including API latency and user interaction design, with 2+ years addressing LLM constraints; senior level requires 4+ years and 1+ year addressing LLM constraints.
• Principal level: 6+ years using cloud computing platforms such as AWS or GCP to deploy responsive, scalable systems; senior level requires 4+ years.
• Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field.
• Strong understanding of responsible AI governance, guardrails, security layers, and evaluation mechanisms for autonomous agents working with sensitive enterprise HR and financial data.
• Proven technical leadership, ownership of engineering workstreams and development lifecycles, and mentorship of junior-to-mid-level engineers.
• Deep focus on business value, user experience, and applying deep learning or large models to practical end-user challenges.
• Ability to architect robust application layers around AI models with reusable patterns for predictability, error handling, and seamless UX integration.
• Skill in rapid prototyping, benchmarking model outputs against product requirements, and creating automated evaluation metrics for retrieval quality and agentic behavior.
• Highly autonomous approach to breaking open-ended product goals into concrete, scalable engineering solutions.

Nice to have

• Master’s degree in Computer Science, Software Engineering, or an equivalent technical field.

Culture & Benefits

• Flex Work combines remote flexibility with in-person collaboration, requiring at least 50% of each quarter in the office or field depending on the role.
• Remote home-office roles may come together in hirify.global offices for important company moments.
• Benefits include comprehensive coverage described in hirify.global’s benefits information.
• Potential eligibility for a hirify.global Bonus Plan or role-specific commission or bonus and annual refresh stock grants.
• hirify.global provides reasonable accommodations during the application process and supports an inclusive workplace.