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1 день назад

Staff/Principal Agentic AI Engineer (AI)

156 400 - 265 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff/Principal Agentic AI Engineer (AI): Building intelligent autonomous agents and integrating them with enterprise systems through REST APIs, microservices, and cloud platforms with an accent on LLM orchestration, multi-agent frameworks, and scalable secure deployment. Focus on optimizing LLM inference, adapting small language models with PEFT methods, and implementing instruction tuning, supervised fine-tuning, and preference alignment.

Location: Remote in the United States or Canada

Annual base pay: $156,400–$265,700 for the San Francisco Bay Area; $136,000–$231,000 for all other US locations. The role may also be eligible for a bonus.

Company

hirify.global provides a cloud-first, AI-powered platform that helps communication service providers simplify operations, reduce costs, and improve subscriber experiences.

What you will do

  • Design and deploy AI agents capable of perception, reasoning, and autonomous action.
  • Integrate agents with external systems through REST APIs, microservices, and cloud platforms.
  • Optimize multi-agent environments for performance, scalability, and security.
  • Collaborate with product managers and data scientists to align agent capabilities with business needs.
  • Explore generative AI, LLM orchestration, and multi-agent frameworks.

Requirements

  • 10+ years of software development experience, including exposure to AI/ML projects.
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
  • Hands-on experience developing AI agents with Google ADK, LangChain, CrewAI, AutoGen, or similar frameworks.
  • Strong programming skills in Go, Rust, or Python.
  • Familiarity with LLM integration, prompt engineering, and multi-agent workflow orchestration.
  • Knowledge of vector databases, embeddings, and retrieval-augmented generation.
  • Understanding of generative AI, NLP, reinforcement learning, and LLM inference optimization.
  • Experience adapting small language models to domain-specific tasks using LoRA, QLoRA, and other PEFT methods, including adapters, prefix tuning, and DoRA.
  • Understanding of instruction tuning, supervised fine-tuning, and preference alignment methods such as DPO and RLHF.

Nice to have

  • Experience building custom AI agents for enterprise workflows such as service request triage, summarization, or proactive support.
  • Experience with agent lifecycle management and AI profiles for model selection and orchestration.
  • Exposure to multi-agent collaboration and autonomous decision-making systems.
  • Experience with PL/SQL or Java.

Culture & Benefits

  • Remote work is available in the United States and Canada.
  • Work on AI innovation for telecom and cloud solutions impacting millions of users.
  • Collaborative environment with continuous learning and growth.
  • Competitive benefits and vacation package.

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