Senior AI Engineer
About The Position
As 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.
Requirements
- 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).
- 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.
- Bachelor's Degree or equivalent experience.
Responsibilities
- Design, build and scale AI infrastructure and tooling.
- Develop internal tooling and libraries using AI tools and frameworks.
- Create integrations with LLM gateways, agent frameworks, and structured output systems.
- Contribute to the design of scalable infrastructure for large-scale data processing and model serving.
- Partner closely with engineers and data scientists.
- Collaborate with product and operations teams to deliver AI capabilities.
Benefits
- medical
- dental
- vision
- 401k plan
- discretionary vacation for exempt team members
- paid holidays
- paid sick leave
- annual bonus
- potential for restricted stock units
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
