3 дня назад
Forward Deployed AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed AI Engineer (AI/Generative AI): Building and deploying full-stack AI applications and agentic systems for strategic enterprise customers with an accent on production-grade architectures, RAG, foundation models, and LLMOps/MLOps. Focus on translating customer needs into technical strategy, operationalizing AI solutions, codifying reusable architectures, and solving enterprise security, governance, and scalability challenges.
Location: Remote from Japan
Company
provides an enterprise data platform that helps organizations transform complex data into actionable insights.
What you will do
- Build and prototype full-stack AI applications and agentic systems on the platform.
- Work directly with strategic customers to move AI use cases from early prototypes toward production readiness.
- Advise technical and executive stakeholders on AI roadmaps, use-case prioritization, deployment, and business alignment.
- Design reusable reference architectures, productized solutions, starter kits, and internal playbooks.
- Mentor internal teams and share customer feedback with Product teams to improve AI products and capabilities.
Requirements
- 5+ years of experience building and deploying production-grade systems, including 2–3 years developing Generative AI or agentic applications.
- Strong software engineering, data engineering, and applied AI/ML skills with modern AI frameworks and tooling.
- Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation, and agentic workflows.
- Deep knowledge of LLMOps/MLOps, including evaluation, observability, serving, monitoring, and lifecycle management.
- Experience designing scalable enterprise AI architectures that address security, governance, and compliance requirements.
- Ability to work directly with technical and executive customers, operate autonomously, and mentor others.
Nice to have
- Experience with AWS, Azure, or GCP.
- Experience with the platform or open-source big data technologies such as Spark, Iceberg, or NiFi.
- Experience with NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads.
Culture & Benefits
- Flexible work-from-home policy.
- Generous paid time off and dedicated Unplugged Days.
- Mental and physical wellness programs.
- Phone and internet reimbursement.
- Career development, comprehensive benefits, paid volunteer time, and employee resource groups.
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