обновлено 5 дней назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AI/Automation): Developing and optimizing agentic AI pipelines and workflow intelligence for a workforce platform with an accent on prompt engineering, RAG, and model orchestration. Focus on building robust, scalable AI systems that adapt to complex user workflows and drive intelligent automation.
Location: Remote across Canada, Europe, Latin America, and the United States
Company
is building a workforce and workflow intelligence platform that helps teams understand and improve how work gets done through agentic AI and automation.
What you will do
- Develop, optimize, and maintain agentic AI pipelines for automation and workflow intelligence.
- Experiment with prompt engineering, context tuning, and model orchestration to improve performance and adaptability.
- Build contextual intelligence systems using vector databases, RAG, and related frameworks.
- Integrate AI systems into real-world workflows in collaboration with engineering and product teams.
- Refine models through experimentation, data feedback, and iterative development across prototypes and production systems.
Requirements
- At least 2 years of experience working on agentic AI systems scaled to external users.
- At least 4 years of experience as a backend developer or in a similar engineering role.
- Strong foundation in Python, LLMs, and agentic architectures.
- Experience with prompt engineering, context optimization, and AI pipeline design.
- Ability to build fast prototypes and test model behavior in varied and complex contexts.
Nice to have
- Experience integrating AI into desktop or web applications.
- Familiarity with LangChain, OpenAI API, or similar frameworks.
- Background in automation systems, workflow optimization, or enterprise AI tools.
Culture & Benefits
- Remote full-time work across Canada, Europe, Latin America, and the United States.
- Opportunity to work across experiments, prototypes, and production systems.
- Direct collaboration with founders and engineers.
- Competitive market-based pay adjusted for experience, skills, and location.
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