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2 дня назад

Principal Engineer - Agentic AI Platform

191 000 - 297 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Engineer - Agentic AI Platform (AI/LLM): Building and evolving a foundational platform for agent orchestration, tool use, memory, and multi-agent coordination across retail, inventory, and customer experience systems with an accent on scalable distributed architecture, production LLM integration, and reliable agent behavior. Focus on designing evaluation and safety guardrails, developing novel agentic patterns, and driving cross-team technical strategy for platform adoption.

Location: Hybrid in Seattle, Washington

Annual pay range: $191,000–$297,000

Company

hirify.global is developing AI-powered retail experiences and an agentic AI platform for commerce, inventory, operations, and customer experience.

What you will do

  • Architect and evolve foundational platform layers for agent orchestration, tool use, memory, and multi-agent coordination.
  • Translate business goals into reusable platform capabilities for autonomous agent workflows.
  • Lead cross-team design reviews, establish engineering standards, and create architecture artifacts.
  • Evaluate and integrate LLM APIs, vector stores, RAG patterns, and agentic frameworks.
  • Drive platform observability, evaluation, guardrails, reliability, and responsible agent behavior.
  • Mentor engineers, resolve complex incidents, develop proofs of concept, and influence technical roadmaps.

Requirements

  • 10+ years of professional software engineering experience designing and delivering large-scale distributed platforms.
  • Deep production experience with LLMs, foundation model APIs, prompt engineering, RAG architectures, and embedding-based search.
  • Experience building shared AI infrastructure or developer platforms for multiple engineering teams.
  • Strong proficiency in Python and/or Java, with cloud-native development experience on AWS and/or GCP.
  • Expertise in distributed systems, microservices, event-driven architecture, API gateways, data pipelines, CI/CD, Kubernetes or Docker, observability, and reliability engineering.
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, plus experience influencing leaders and mentoring engineers.

Nice to have

  • Experience building autonomous AI agents with LangGraph, AutoGen, CrewAI, Semantic Kernel, or OpenAI Assistants API.
  • Knowledge of multi-agent orchestration, task decomposition, tool-use pipelines, agent memory, and human-in-the-loop workflows.
  • Experience with agent evaluation, safety guardrails, responsible AI, retail or e-commerce workflows, and supply chain systems.
  • Contributions to open-source AI or platform projects and experience with Spark, BigQuery, Redshift, or production ML integrations.

Culture & Benefits

  • Medical, vision, dental, life, and disability insurance options.
  • Retirement benefits, paid time away, holidays, and PTO accrual.
  • Merchandise discounts and employee assistance resources.
  • Potential eligibility for performance-based incentives or bonuses.

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