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4 дня назад

Principal Software Engineer/Principal AI Engineer

115 400 - 192 300$
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 Software Engineer/Principal AI Engineer (Agentic AI/LLMs): Leading embedded Innovation Squads from discovery through production by hardening AI prototypes, building enterprise AI integrations, and creating reusable agentic AI patterns with an accent on orchestration, tool use, memory, retrieval, and governance. Focus on designing scalable architectures, moving pilots into production, measuring productivity and quality outcomes, and mentoring engineers.

Location: Philadelphia, United States

Salary: $115,400–$192,300 gross annual base pay, plus eligibility for an annual incentive bonus.

Company

hirify.global provides information, analytics, and data-driven solutions supporting scientific research, healthcare, health education, and clinical practice.

What you will do

  • Lead technical execution for an embedded Innovation Squad from discovery and requirements definition through production delivery.
  • Assess, harden, and deliver AI prototypes and proofs of concept in enterprise environments.
  • Design reusable agentic AI patterns covering orchestration, tool use, memory, retrieval, and production guardrails.
  • Integrate AI solutions with enterprise systems through APIs and data pipelines while meeting security, compliance, and data-governance standards.
  • Codify validated solutions into reusable patterns, reference implementations, and starter kits for adoption across functions.
  • Establish measurable baselines, advise on infrastructure and budgets, coordinate stakeholders and external resources, and mentor engineers.

Requirements

  • 10+ years of software engineering experience, including hands-on AI system design, development, or integration and taking enterprise AI prototypes to production.
  • Experience with LLM orchestration, prompt engineering, context-window management, MCP, tool-augmented agents, RAG, and production guardrails.
  • Strong enterprise integration, security, data governance, data residency, and architectural experience across relational, columnar, and vector stores.
  • Experience with AWS, Azure, or GCP and managed AI/ML services, plus Agile, CI/CD, modern SDLC, and TDD.
  • Proficiency in Python, Java, TypeScript or JavaScript, SQL, and relevant AI SDKs.
  • Bachelor's degree in Engineering, Computer Science, or an equivalent field; advanced degree preferred.

Culture & Benefits

  • Flexible working hours designed to support productivity and work-life balance.
  • Comprehensive pension plan and generous vacation entitlement.
  • Sabbatical leave and parental, adoption, and family-care leave.
  • Personal Choice budget, employee discounts, internal communities, and networks.
  • Study assistance, wellbeing initiatives, and a global Employee Assistance Program.

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