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Sr. Software Engineer II (AI)

107 000 - 193 000$
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

Sr. Software Engineer II (AI Tooling): Design and build systems purpose-built for AI agents, automations, and decisioning engines using LLMs, internal data, and external signals with an accent on agentic workflows, orchestration pipelines, and retrieval layers. Focus on establishing best practices for AI data quality, observability, safety, and turning high-volume data into reliable production systems.

Location: United States

Salary: $107,000 - $193,000

Company

Rockerbox under hirify.global is building the next generation of marketing intelligence with AI systems that drive real business outcomes.

What you will do

  • Work with engineers, product managers, and data teams to identify and prioritize AI opportunities.
  • Translate product requirements into AI-driven solutions impacting client experience.
  • Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks.
  • Design and implement agentic workflows and orchestration pipelines for complex processes.
  • Design retrieval, orchestration, and memory layers to make AI agents smarter.
  • Establish best practices for AI data quality, observability, and safety.

Requirements

  • 6+ years in software engineering, data engineering, or large-scale distributed systems
  • Hands-on experience integrating LLMs into production (embeddings, RAG, vector stores, agent orchestration)
  • Strong proficiency in Python and SQL
  • Experience with Kubernetes and container-based infrastructure
  • Systems thinking: storage, retrieval, metadata, reliability, latency, failure modes
  • Ability to work from ambiguity to execution and strong communication skills

Culture & Benefits

  • Bonus/commission (as applicable), equity, and benefits
  • Opportunity to drive real business outcomes in marketing intelligence
  • Collaborative environment with engineers, PMs, and data teams

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