AI Product Engineer

Employ Inc.

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in building AI-augmented product capabilities including LLMs and orchestration frameworks.
  • Experience designing decoupled systems using message queues like Kafka or SQS.
  • Expertise in state management strategies for managing context and concurrency.
  • Knowledge in enforcing structured outputs with schema validation tools like Pydantic.
  • Strong understanding of API design, including REST and GraphQL standards.

Responsibilities

  • Lead architecture and delivery of AI-powered systems including workflows and pipelines.
  • Translate product vision into scalable technical systems.
  • Define contracts and guardrails for AI-driven workflows.
  • Ensure reliability and safe interaction of API contracts in AI systems.
  • Design validation layers to ensure quality of AI outputs.
  • Implement strategies for error handling and failure containment.
  • Establish observability standards to monitor AI system performance.

Benefits

  • Unlimited PTO for a healthy work-life balance.
  • Comprehensive medical, dental, and vision coverage.
  • Access to learning and development programs for skill enhancement.
  • Work in a mission-driven environment focusing on improving hiring outcomes.
Full Job Description
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 at Employ. This 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 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.
Tech Stack & Hard Skills: 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 Why You'll Love Working Here: Make an impact: Your work will directly shape how thousands of employees experience total rewards at Employ - ensuring programs that attract, engage, and retain top talent across the globe. Meaningful, mission-driven work: Join a team where operational excellence in HR directly supports Employ's mission to improve hiring outcomes for both people and businesses. Unlimited PTO: Trust-based time off so you can recharge and bring your best self to work. Comprehensive benefits: Medical, dental, and vision coverage to support you and your family's health and well-being. Learning & development programs: Access to training, mentorship, and development resources to grow your skills - from HR operations to total rewards strategy.

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