aipythongollmraglangchainfine tuningrustvector databasesagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$156к-266к/год
$180к$200кмедиана$260к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $4.3к/мес ($3.6к - $5к)
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Вакансия дает возможность заниматься агентным ИИ и адаптацией моделей, но уровень Staff/Principal не подкреплен ясными ожиданиями по техническому лидерству и влиянию на команду.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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