Forward Deployed AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployed AI Engineer (AI): Developing full-stack AI applications and agentic systems to accelerate AI adoption for strategic enterprise customers with an accent on prototyping real-world use cases and operationalizing advanced AI capabilities. Focus on building RAG pipelines, implementing LLMOps practices, and codifying repeatable reference architectures for enterprise-scale deployment.
Location: Austin, Texas (Hybrid). This role is not eligible for immigration support or relocation.
Company
is a leading data platform company that empowers enterprises to transform complex data into clear and actionable insights through open-source innovation.
What you will do
- Build and prototype full-stack AI applications and agentic systems on the platform to solve enterprise use cases.
- Partner directly with strategic customers to drive AI initiatives from early prototype to production readiness.
- Advise customer leaders on AI roadmaps, use case prioritization, and deployment considerations to align with business goals.
- Codify successful patterns into repeatable reference architectures, starter kits, and internal playbooks.
- Mentor internal teams and channel customer feedback to Product teams to improve the AI platform.
Requirements
- 5+ years of experience in production-grade systems, including 2-3 years building Generative AI or agentic applications.
- Strong software and data engineering skills with experience in full-stack AI applications using modern frameworks.
- Expertise in foundation models, context engineering, fine-tuning, semantic search, RAG, and agentic workflows.
- Deep understanding of LLMOps/MLOps practices, including evaluation, observability, and lifecycle management.
- Ability to engage with both technical and executive audiences to translate needs into technical strategy.
- Must be based in the USA; no immigration support or relocation available.
Nice to have
- Experience with cloud technologies (AWS, Azure, GCP).
- Familiarity with the platform.
- Experience with open-source big data technologies such as Spark, Iceberg, or NiFi.
- Knowledge of AI infrastructure, including NVIDIA GPUs and distributed AI workloads.
Culture & Benefits
- Flexible WFH policy and generous PTO, including "Unplugged Days" for work-life balance.
- Comprehensive benefits packages including mental and physical wellness programs.
- Phone and internet reimbursement program.
- Access to continuous career development and Employee Resource Groups.
- Paid volunteer time.
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