AI Product Engineer

AustinFull-timemid

EngineeringData ScienceOtherProduct EngineerAi Product Engineer

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Quick Summary

Overview

Employ is transforming how hiring gets done. With our three ATS solutions - Jobvite, Lever, and JazzHR - plus cutting-edge AI Companions,

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EngineeringData ScienceOtherProduct EngineerAi Product Engineer

Employ is transforming how hiring gets done. With our three ATS solutions - Jobvite, Lever, and JazzHR - 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 at scale. From 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 @employinc.com 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 security@employinc.com.

About the Role

~1 min read

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.

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

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.

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.

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 conditions when multiple agents interact with shared data.

Structured Data Enforcement : Experience enforcing structured outputs using schema validation tools such as Pydantic, Zod, or JSON Schema to ensure AI-generated outputs are reliable and machine-readable.

API Design & Integration : Strong understanding of REST, GraphQL, or RPC interface design, along with authentication, rate limiting, and idempotent API patterns.

Languages: Python, including asyncio, decorators, and the modern Python ecosystem. TypeScript / Node for integration and application-layer logic

AI Stack: Orchestration frameworks such as LangChain, LangGraph, or custom agent loops. Retrieval-Augmented Generation (RAG) systems. Hybrid search, re-ranking, and chunking strategies. Vector databases such as Pinecone, pgvector, or Weaviate

Database & Infrastructure: Advanced SQL skills including query optimization and indexing strategies. Containerization using Docker, Kubernetes or similar orchestration platforms. Experience running isolated environments for code execution