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2 дня назад

Principal Software Engineer (AI)

156 400 - 253 000$
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

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TL;DR
Principal Software Engineer (AI): Building production-grade autonomous AI systems, agent harnesses, and developer-platform capabilities across the software lifecycle with an accent on context engineering, RAG, evaluation, governance, and LLMOps. Focus on designing bounded control loops, deploying reliable multi-cloud AI platforms, and solving complex challenges in agent recovery, observability, security, and enterprise-scale execution.

Location: Santa Clara, California, United States; hybrid schedule with 3 days per week in the office.

Salary: $156,400–$253,000 per year, plus potential bonus and restricted stock units.

Company

Cybersecurity company developing secure cloud infrastructure, platform engineering capabilities, and AI-powered security solutions.

What you will do

  • Define the strategic roadmap for autonomous AI investments and prioritize enterprise use cases using ROI and business-impact metrics.
  • Design and build production-grade AI harnesses, closed-loop control systems, context-management systems, and recovery mechanics.
  • Develop agentic frameworks supporting tool selection, multi-agent orchestration, function calling, MCP, and deterministic recovery.
  • Implement advanced RAG pipelines using hybrid search, vector embeddings, chunking, reranking, and agentic retrieval.
  • Build evaluation suites, LLM-as-judge pipelines, regression tests, observability, and LLMOps capabilities for reliable production deployment.
  • Lead cross-functional initiatives that embed secure AI platforms into developer workflows and multi-cloud environments.

Requirements

  • 7+ years of software or ML engineering experience, including 2+ years in applied AI, RAG, LLM orchestration, or AI strategy execution.
  • Bachelor’s or master’s degree in computer science, data science, engineering, or equivalent practical experience.
  • Production experience delivering agentic AI solutions with measurable ROI and reliable operation at scale.
  • Strong expertise in autonomous loops, state verification, step-wise evaluation, error recovery, context engineering, MCP, function calling, hybrid search, and vector databases.
  • Experience with automated evaluation, production monitoring, AI safety, prompt-injection defense, data privacy, and compliance frameworks.
  • Ability to align engineering, product, legal, and executive stakeholders on complex AI initiatives.

Culture & Benefits

  • In-person collaboration model with flexibility when needed.
  • Opportunity to work on cybersecurity, AI, and cloud infrastructure at enterprise scale.
  • Employee benefits, bonus eligibility, and potential restricted stock units.
  • Visa or immigration sponsorship is available.
  • Inclusive workplace with reasonable accommodations for qualified individuals.

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