Senior AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (AI): Building and scaling AI infrastructure and tooling to empower data scientists and product teams with an accent on LLM integration, agent frameworks, and scalable model serving. Focus on developing internal libraries, optimizing AI-powered application performance, and designing robust infrastructure for large-scale data processing.
Location: Hybrid role with in-office expectations in San Francisco, CA, Birmingham, AL, or Minneapolis, MN.
Salary: $134,000 - $180,000
Company
is a retail tech company connecting customers to reliable delivery services and retail businesses, operating as a subsidiary of Target Corporation.
What you will do
- Design and build scalable AI infrastructure and internal tooling for data science and engineering teams.
- Create integrations with LLM gateways, agent frameworks, and structured output systems.
- Develop libraries and tools to accelerate AI-first product development across the organization.
- Collaborate with cross-functional teams to deliver AI capabilities for logistics and retail experiences.
- Implement observability and monitoring systems for machine learning models.
- Contribute to the design of scalable infrastructure for large-scale data processing and model serving.
Requirements
- Strong proficiency in Python with experience in modern AI/ML ecosystems.
- Hands-on experience with AI development tools such as LangGraph, PydanticAI, or LiteLLM.
- Background in developing infrastructure and tooling for engineering and data science teams.
- Experience with cloud environments (AWS, GCP, or Azure) and containerized development (Docker, Kubernetes).
- Solid understanding of the end-to-end data science workflow.
- Must be able to work in a hybrid capacity in San Francisco, Birmingham, or Minneapolis.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance coverage.
- Enrollment eligibility in the company 401k plan.
- Discretionary vacation policy for exempt team members.
- Paid holidays and sick leave.
- Eligibility for annual bonus and restricted stock units.
- Focus on team belonging, growth opportunities, and community impact.
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