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AI Product Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Employ Inc.
Full Time position
Listed on 2026-06-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
Employ is transforming how hiring gets done. With our three ATS solutions - Jobvite, Lever, and  - plus cutting-edge AI Companions, we free recruiters from admin work and give them more time for what matters: connecting with people. More than 23,000 global customers rely on Employ to make millions of candidate connections each year, helping them hire smarter, faster, and m growing startups to the world's most recognized brands, we're redefining what's possible in talent acquisition.

We're a fast-moving, remote-first team of builders and innovators who live our people-first philosophy every day. We back it up with flexible work scheduling and paid time off, comprehensive benefits, and career development opportunities that help you thrive. At Employ, you won't just grow your career - you'll help millions of others grow theirs.

Come join our team where we have each other's backs, champion our customers, hold ourselves accountable, and shape what's next in talent acquisition.

Candidate Safety Notice

Please note, employ takes candidate safety seriously. Employ recruiters and employees communicate only via official email addresses. We will never request payment or personal financial information during the hiring process. If you receive suspicious outreach claiming to be from Employ, please report it to .

In this senior-level role, you will lead the architecture and evolution of AI-powered systems that transform probabilistic model outputs into reliable, production-grade product capabilities. You will design and ship systems around agents, retrieval pipelines, orchestration layers, and evaluation frameworks, while defining the architectural standards that ensure AI-driven features operate safely and at scale across our platform.

This is not a feature-delivery role - it is a systems-definition role. Your decisions will shape how AI capabilities are built, evaluated, and deployed across the organization.

About the Team

Our AI Foundations team is building the foundation for how AI will power the next generation of products s is a high-ownership, high-autonomy team responsible for turning rapidly evolving model capabilities into reliable, customer-facing systems.

What You'll Do:

Architect & Ship AI-Native Systems
  • Lead the architecture and delivery of end-to-end AI-powered systems, including agents, RAG pipelines, orchestration layers, and reasoning workflows.
  • Translate product vision into scalable technical systems.
  • Define contracts, state management strategies, and guardrails for AI-driven workflows.
  • Own and evolve API contracts that AI systems interact with, ensuring reliability, idempotency, authentication safety, and rate limiting.
Engineer Reliability at Scale
  • Design schema enforcement and validation layers for AI-generated outputs.
  • Implement retries, fallback strategies, and failure-mode containment.
  • Establish evaluation frameworks for benchmarking, regression testing, and drift detection.
  • Create observability standards for AI systems, including structured logging, telemetry, tracing, and performance monitoring.
  • Productionize experimental AI capabilities into scalable, secure services.
Set Direction & Elevate the Organization
  • Establish architectural patterns and standards adopted across teams.
  • Mentor engineers in AI-native and spec-driven development practices.
  • Influence engineering culture through clarity, urgency, and execution.
  • Decompose high-level business outcomes into executable technical systems.
What You Bring:

You have mastered the fundamentals of software engineering and operate at a higher level of abstraction. You are not simply accepting AI-generated code - you review, restructure, and integrate it into cohesive, production-grade systems.
  • 4+ years building AI-augmented product capabilities (LLMs, RAG systems, agents, orchestration frameworks).
  • Event-Driven & Asynchronous Systems : Experience designing decoupled systems using queues such as Kafka, SQS, or BullMQ, and implementing asynchronous workflows that prevent blocking operations in user-facing systems.
  • State Management Strategy : Experience persisting state across sessions, managing context windows efficiently, and handling concurrency and race…
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