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5 дней назад

Software Engineer - AI Agentic Product Dev Team (US)

120 750 - 161 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Software Engineer - AI Agentic Product Dev Team (US) (AI/LLM): Building scalable, user-facing frontend and backend product features powered by LLMs, NLP, retrieval systems, and agent-based workflows with an accent on model inference, orchestration, and production reliability. Focus on designing APIs and backend services, integrating and evaluating AI models, building RAG pipelines, and shipping autonomous product experiences at global scale.

Location: Hybrid in Santa Clara, California, United States; employees near Santa Clara must work from the office three times per week.

Base annual salary: $120,750–$161,000, plus eligibility for a discretionary annual bonus of up to 10% and pre-IPO equity.

Company

hirify.global builds AI-powered products that help people and enterprises make talent decisions at global scale.

What you will do

  • Build and ship AI-powered product features using LLMs, NLP, and agent-based workflows.
  • Develop backend services and APIs for model inference, orchestration, and tool execution.
  • Implement LLM workflows, pipelines, retrieval-augmented generation systems, and goal-oriented agent behaviors.
  • Partner with product managers, designers, and AI/ML engineers to turn intelligent systems into production features.
  • Integrate, evaluate, and productionize models while improving performance, reliability, and scalability.
  • Write tested, maintainable code and participate in code reviews and technical discussions.

Requirements

  • 1–2 years of professional software engineering experience.
  • Strong experience building backend or full-stack applications.
  • Proficiency in Python and at least one of Java, Go, or TypeScript.
  • Hands-on experience integrating LLM, NLP, or ML-powered features.
  • Knowledge of APIs, distributed systems, backend services, prompting, embeddings, and model inference.
  • Solid software engineering fundamentals, including testing, debugging, system design, and a product mindset.

Nice to have

  • Experience with agentic systems, workflows, or orchestration frameworks.
  • Exposure to RAG architecture design and evaluation.
  • Familiarity with AWS, GCP, or Azure.
  • Experience in AI-first or fast-moving product teams.

Culture & Benefits

  • Hybrid work model combining remote and in-person collaboration.
  • Family medical, vision, and dental coverage.
  • Eligibility for equity awards and discretionary bonuses.
  • Work on AI-first products used by millions of users globally.

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