4 дня назад
Forward Deployed AI Engineer (Senior/Principal Level) - based in Czechia/Poland/Spain
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed AI Engineer (Senior/Principal Level) (AI/Generative AI): Building and deploying full-stack AI and agentic applications for strategic enterprise customers with an accent on foundation models, RAG, semantic search, and scalable enterprise architectures. Focus on moving prototypes toward production, designing LLMOps/MLOps practices, advising customer leaders, and codifying repeatable AI solution patterns.
Location: Remote from Czechia, Poland, or Spain with required in-person customer engagement and occasional travel of up to 20%
Company
provides enterprise data management and AI solutions that help organizations transform complex data into actionable insights.
What you will do
- Build and prototype full-stack AI applications and agentic systems on the platform.
- Partner 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 enterprise strategy.
- Develop scalable AI architectures aligned with enterprise security, governance, and compliance standards.
- Codify successful approaches into reference architectures, productized solutions, starter kits, and internal playbooks.
- Mentor teams and share customer insights with Product teams to improve AI products and capabilities.
Requirements
- 7+ years of experience building and deploying production-grade systems, including 2–3 years building Generative AI or agentic applications.
- Strong software engineering, data engineering, and applied AI/ML skills, with experience building full-stack AI applications or agentic systems.
- Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation, and agentic workflows.
- Deep understanding of LLMOps/MLOps, including evaluation, observability, serving, monitoring, and lifecycle management.
- Ability to work directly with customer technical and executive audiences, operate autonomously, and navigate ambiguous environments.
- Willingness to support customer-facing in-person engagements, industry events, and team meetings, with up to 20% travel.
Nice to have
- Experience with AWS, Azure, or GCP.
- Experience using the platform.
- Experience with 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 additional Unplugged Days.
- Mental and physical wellness programs.
- Phone and internet reimbursement.
- Career development opportunities and comprehensive benefits.
- Paid volunteer time and employee resource groups.
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