Instacart
Senior Software Engineer I — Agentic Analytics
Remote Software Engineering role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Canada
Role overview
Senior Software Engineer I — Agentic Analytics
Requirements and responsibilities
Readable role content extracted into sections for faster review.
About the Job
- You will be part of a small, ambitious team with a large amount of ownership and surface area, contributing directly to the AI-for-Data charter at Instacart.
- You will build LLM-powered systems end-to-end — retrieval/grounding over internal metadata and code, agentic workflows, evals and quality systems, and the product surfaces that put these tools in front of internal users.
- You will have the opportunity to suggest and drive new initiatives — the roadmap is still being shaped and there's real room for contribution.
- You will collaborate closely with other engineers on the team and contribute to a strong engineering culture around applied AI rigor (evals, observability, safety, cost).
- You will work closely with Data Science, ML, Product Engineering, and other Data Infra teams to identify high-leverage AI applications and translate them into reliable, production-grade systems.
Minimum Qualifications
- Self-motivation and an enjoyment for a startup environment, with comfort operating in ambiguity
- A strong sense of ownership and a builder's instinct — you've shipped real systems, not just prototypes
- Strong backend engineering skills in Python, with experience building production services
- Hands-on experience with applied LLM systems — RAG, agentic workflows, prompt engineering, evals, or similar. You've worked on an LLM-powered system in production (or close to it) and have opinions on what makes them reliable.
- Working knowledge of common data infrastructure technologies (Python, Airflow, Snowflake, dbt) in a production environment
- Strong knowledge of SQL
- Experience working with a large codebase on a cross-functional team
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
- 5+ years of working experience in a similar field/environment
Preferred Qualifications
- Experience with retrieval systems, vector stores, or grounding LLMs over structured/unstructured enterprise data
- Familiarity with eval frameworks and quality systems for LLM-powered products
- Experience building developer tools or internal tools for technical users
- Bachelor's degree in Computer Science, computer engineering, electrical engineering, OR equivalent work experience
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