OverviewAbout the RoleWe are currently seeking a Senior Software Engineer to join our Agentic Analytics Platform team - the team responsible for the AI-for-Data charter inside Instacart's Data Infrastructure org. You'll design and build LLM-powered systems that transform how data practitioners (data scientists, data engineers, analysts, PMs) interact with data at Instacart - from natural-language data access and AI-assisted SQL, to automated metadata generation, to embedding intelligent capabilities across our broader data infra ecosystem. This is a hands-on role at the frontier of applied AI inside a large, modern data stack.
About the TeamThe mission of the Instacart Self-Serve organization is to improve the productivity of data practitioners through easy-to-use, self-serve tools. Agentic Analytics is the team chartered with bringing AI and LLMs into that mission - broadly. We own the systems, evals, and product surfaces that make AI-for-Data real at Instacart, and we partner across Data Infra to embed AI capabilities wherever they create the most leverage. It's a small team with an outsized charter, defining what "AI for the data org" looks like in production at company scale.
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.
About YouMinimum 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
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$168,000-$177,500 USD
