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Senior Software Engineer / Senior AI Engineer (AI)

86 600 - 144 400$
Формат работы
onsite
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
Senior Software Engineer / Senior AI Engineer (AI): Building and shipping production-grade AI-powered features, including RAG pipelines, tool-augmented agents, and agentic workflows, with an accent on enterprise integration, evaluation, observability, and guardrails. Focus on designing multi-step agent systems, integrating AI with APIs and data pipelines, and measuring usage, productivity, and quality against established baselines.

Location: Philadelphia, United States

Salary: $86,600–$144,400 annual base pay, plus eligibility for an annual incentive bonus.

Company

hirify.global is a global information and analytics business supporting scientific research, healthcare, health education, clinical practice, and interactive learning.

What you will do

  • Build prototypes, proofs of concept, and production-grade agentic AI solutions within defined technical approaches.
  • Implement and test RAG pipelines, tool use, agent workflows, memory, and retrieval capabilities.
  • Integrate AI capabilities into enterprise systems, APIs, data pipelines, and existing business workflows.
  • Contribute to evaluation, observability, guardrails, outcome measurement, and baseline-based productivity and quality metrics.
  • Maintain high-quality, reusable code and documentation, including reference implementations and starter kits.
  • Collaborate with technical peers and host-function stakeholders, identify risks early, and support solution handover and operational ownership.

Requirements

  • 3+ years of software engineering experience with hands-on production experience building LLM-powered applications, including RAG, tool-augmented agents, or agentic workflows.
  • Experience with prompt engineering, context management, agent memory, tools, retrieval, evaluation, and observability.
  • Experience integrating AI into enterprise systems through APIs and data pipelines.
  • Knowledge of AWS, Azure, or GCP; CI/CD; modern SDLC; TDD; and code review.
  • Experience with relational, columnar, and vector data stores and sound data-modelling principles.
  • Proficiency in Python, Java, TypeScript or JavaScript, SQL, and relevant AI SDKs, with clear communication skills.

Culture & Benefits

  • Flexible working hours designed to support work-life balance.
  • Comprehensive pension plan, generous vacation entitlement, and sabbatical leave options.
  • Maternity, paternity, adoption, and family care leave.
  • Personal Choice budget, employee discounts, internal communities, and networks.
  • Study assistance, wellbeing initiatives, employee assistance program, and country-specific benefits.

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