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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это хорошо описанная роль на стыке AI и внедрения в зрелой продуктовой компании, но частые поездки и ответственность за несколько клиентских проектов могут сделать работу напряжённой.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (AI): Designing, building, and deploying Agentic AI solutions on the Kinaxis Maestro Platform for customer operations with an accent on LLM applications, data engineering, and production software delivery. Focus on rapidly prototyping customer solutions, abstracting field learnings into reusable platform capabilities, and guiding teams through adoption.
Location: Remote; must be located in Canada or the US. Travel may be required up to 50%.
Company
hirify.global develops an AI-infused supply chain orchestration platform used by customers in more than 100 countries.
What you will do
Own customer solutions end-to-end, rapidly prototyping, iterating, and deploying solutions in live operational environments.
Build trusted relationships from individual contributors to executive sponsors and serve as the technical face of hirify.global.
Manage multiple customer engagements in parallel, set expectations, adapt to changing conditions, and own outcomes.
Work in a self-directed, multidisciplinary POD team and trade tasks based on the skills required.
Partner with Product and Engineering to turn field learnings into durable platform capabilities rather than one-off scripts.
Mentor customer operators and guide teams through solution transitions and adoption.
Requirements
Hands-on experience building LLM-based applications, RAG systems, multi-agent workflows, tool-use patterns, and prompt and context engineering.
Daily familiarity with AI-assisted development tools such as Copilot, Claude Code, or agentic IDE workflows.
Understanding of agentic orchestration, including single-agent versus multi-agent architectures and memory and state handling.
Solid software engineering fundamentals and experience building and shipping real systems.
Proficiency in at least one backend language, with Python strongly preferred, and the ability to contribute across a polyglot codebase.
Experience with REST and streaming APIs, authentication patterns, and enterprise-system integrations.
Ability to build and maintain data pipelines for ingestion, transformation, serving, and monitoring using Airflow, Kafka, dbt, or equivalent tools.
Working familiarity with modern data platforms such as Snowflake, Databricks, BigQuery, or similar, including data modeling and performance fundamentals.
Strong debugging skills with imperfect, real-world data in production environments.
2–5 years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role.
Clear written and verbal communication across engineering, product, and business stakeholders.
Ability to travel as required, up to 50%.
Nice to have
Prior exposure to supply chain planning, logistics, or operations domains.
Experience in customer-facing technical roles such as solutions engineering, forward deployment, or technical consulting, or experience at a startup where multiple responsibilities were handled.
Culture & Benefits
Flexible work options, vacation, and company-wide hirify.global Days.
Physical and mental well-being programs, including virtual fitness classes.
Mentorship, training, career development, recognition programs, and referral rewards.
Hackathons and an inclusive workplace supported by diversity, equity, and inclusion initiatives.
Work focused on supply chain impact, customer outcomes, and sustainability.
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