ImpactAs a Senior AI Engineer on the AI Platform team, you will design, build and scale AI infrastructure and tooling that empowers data scientists, engineers and product teams across Shipt to bring AI first products and features to our customers.
This is a highly impactful position where you'll shape the foundations of our AI capabilities and help accelerate innovation across the organization. In this role you will develop internal tooling and libraries using AI tools and frameworks, create integrations with LLM gateways, agent frameworks, and structured output * systems to improve AI-powered applications and contribute to the design of scalable infrastructure for large-scale data processing and model serving. You will partner closely with engineers and data scientists and collaborate with product and operations teams to delivery AI capabilities that power real-world logistics, retail and customer experiences.
What You'll Need to Be Successful- Strong proficiency in Python, with experience across modern AI/ML ecosystems.
- Hands-on experience building with AI development tools such as MCP servers/clients, PydanticAI, LangGraph, LiteLLM, or similar AI platforms or tools.
- Background in developing infrastructure and tooling that supports engineering and data science teams.
- Experience with observability and monitoring systems for ML (e.g., MLflow, Weights & Biases, or similar).
- Solid understanding of the data science workflow, from data ingestion and feature engineering to experimentation, deployment, and monitoring.
- Experience with cloud environments (AWS, GCP, or Azure) and containerized development (Docker, Kubernetes).
- Have an AI first mindset and passion, with curiosity to learn and leverage AI in all aspects of your work.
- Strong collaboration skills and a passion for building platforms that enable others to do their best work.
Pay Range: $134,000 - $180,000Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.Skills & Education This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.
AI Platforms, Large Language Models (LLMs), Machine Learning (ML), Platform EngineeringBachelor's Degree or equivalent experience | Required
Work ArrangementTo foster connection while offering continued flexibility, hybrid team members have the following in-office expectations:
Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.
Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.
Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday.
Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.
Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company's 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.
