1 день назад
AI Build Engineer Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Build Engineer Manager (AI): Building validated, repeatable AI implementation blueprints and enterprise-ready reference architectures with an accent on agentic workflows, RAG pipelines, containerization, and cloud orchestration. Focus on translating AI architecture patterns into reusable codebases, securing AI workloads, and establishing engineering standards for scalable deployment.
Location: Onsite in Troy, Michigan, United States. Candidates must be legally authorized to work in the United States without current or future visa sponsorship or transfer.
Company
designs electrical distribution systems for vehicles, robotics, energy platforms, and other electrified, automated, and connected products.
What you will do
- Rapidly prototype AI solutions and convert architecture patterns into implementation blueprints.
- Build scalable, reusable reference implementations and containerized engineering patterns.
- Develop agentic workflows, orchestration patterns, and retrieval-augmented generation architectures.
- Apply defensive engineering and security practices to AI workloads.
- Implement containerization and cloud orchestration for enterprise AI solutions.
- Support technical governance, architecture standards, and evaluation of AI tools.
Requirements
- Mastery of Python, including FastAPI, LangChain, and LlamaIndex.
- Experience building lightweight demonstration UIs with Streamlit or React.
- Hands-on experience integrating LLMs, building RAG pipelines, and using vector indexing technologies such as Pinecone, Weaviate, or Azure AI Search.
- Deep proficiency with Azure and/or AWS AI services, serverless inference, and managed Kubernetes platforms.
- Expertise with Docker, Helm, Kubernetes, and CI/CD pipelines such as GitHub Actions or Azure DevOps.
- Ability to work onsite in Troy, Michigan, and work in the United States without visa sponsorship or transfer.
Nice to have
- Experience with LLMOps frameworks, model evaluation, monitoring, versioning, and drift analysis.
- Exposure to LoRA or QLoRA fine-tuning and domain specialization.
- Familiarity with TOGAF or similar Enterprise Architecture frameworks.
Culture & Benefits
- Private healthcare effective from the first day of employment.
- Life and accident insurance, paid holidays, vacation, designated time off, and parental leave.
- Relocation assistance may be available.
- Learning and development opportunities, tuition reimbursement, and recognition for innovation.
- Discount programs, adoption assistance, fertility coverage, and opportunities to support the community.
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