Instacart-posted 3 months ago
$108,000 - $145,000/Yr
1,001-5,000 employees

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team. There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

  • Create AI tools that can grasp and respond to questions in common language.
  • Design and operate integrations across internal systems and third-party SaaS (REST/GraphQL APIs, webhooks, OAuth, JWT), with attention to reliability.
  • Develop and orchestrate multi-step AI workflows using frameworks like LangChain or LangGraph.
  • Ensure AI safety and reliability by incorporating guardrails, evaluation frameworks, fallback logic, RBAC, audit trails, and PII protections.
  • Build and maintain data pipelines (SQL, Python, dbt) that power AI agents.
  • Create lightweight UIs and self-serve experiences (e.g. Slack apps, low-code internal tools).
  • Collaborate with the Sales, Partnerships, Product, Engineering, and Data Science teams.
  • Apply best practices in DevOps and monitoring, including CI/CD, automated testing, observability, and incident response guides.
  • Enforce security and compliance best practices across all automations and data workflows.
  • 2–4 years experience in AI, automation, data engineering, or analytics engineering.
  • Proficiency in SQL and Python; experience building and operating ETL/ELT pipelines.
  • Experience designing and consuming APIs/webhooks and building services (FastAPI, Flask, or Node.js).
  • Exposure to dbt and modern cloud data warehouses (Snowflake, BigQuery).
  • Experience incorporating AI/LLMs into workflows, including prompt design, data retrieval, evaluation, and human oversight.
  • Familiarity with Git, CI/CD, automated testing, and event-driven systems (queues, pub/sub, webhooks).
  • Strong communication skills: able to turn complex business processes into scalable automations and explain technical concepts clearly.
  • Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar).
  • Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks).
  • Built AI tools or automations adopted by non-technical users in business environments.
  • Experience with frameworks like LangChain, LangGraph, or MCP for AI agent orchestration.
  • Exposure to vector search/RAG and evaluation frameworks (e.g., Ragas, DeepEval).
  • Experience creating Slack apps or other lightweight internal tools to support adoption.
  • Familiarity with API tooling (OpenAPI/Swagger, Postman), contract testing, and monitoring.
  • Experience in using cloud platforms such as AWS, GCP, or Azure. Knowledge of containers like Docker. Skill in managing infrastructure with code.
  • Integration experience with business tools (Salesforce, Slack, Google Workspace, Jira/Linear).
  • Experience building automations in business intelligence tools (Jupyter, Grafana, Google Analytics).
  • Prior exposure to e-commerce, retail analytics, or ad tech is a plus.
  • Highly market-competitive compensation and benefits.
  • Remote work flexibility.
  • New hire equity grant and annual refresh grants.
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