Instacart
Senior Software Engineer I — Agentic Analytics
Vaga remota de Software Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Canadá
Resumo da vaga
Senior Software Engineer I — Agentic Analytics
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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