Senior Software Engineer I, Agentic Analytics

Instacart

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Ontario, CanadaAlberta, CanadaBritish Columbia, CanadaNova Scotia, Canada
Salary
$168,000–$177,500 / yr
Posted
100 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $173k
$106k most similar roles pay here $248k

This role pays less than 62% of similar roles. Most pay $149,500–$202,561 — the shaded band above. At the midpoint, this role pays about $173k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Instacart

Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.

Instacart currently has 49 open roles on FindRole.

Listed pay typically runs $196,000–$207,000 across 49 roles with salary data.

Most-posted roles

View all roles at Instacart

At a glance

TL;DR · Senior Software Engineer I, Agentic Analytics

Senior Software Engineer I — Agentic Analytics will join the Agentic Analytics Platform team within the Data Infrastructure organization to advance the AI-for-Data charter. This role involves designing and building end-to-end LLM-powered systems that transform how data practitioners interact with data through natural-language access, AI-assisted SQL, automated metadata generation, and intelligent capabilities across the data infrastructure ecosystem. The engineer will develop retrieval and grounding over internal metadata, create agentic workflows, and build evaluation and quality systems for production-grade tools. Key technical requirements include proficiency in Python, SQL, and experience with Airflow, Snowflake, and dbt. Candidates must possess hands-on experience in applied LLM systems, including RAG, prompt engineering, and vector stores. The role focuses on solving the challenge of making AI-for-Data reliable at scale by building tools for data scientists, engineers, analysts, and product managers.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Design and build end-to-end LLM-powered systems including retrieval, grounding, and agentic workflows.
  • Develop tools for natural-language data access and AI-assisted SQL for internal data practitioners.
  • Build automated metadata generation systems to enhance the broader data infrastructure ecosystem.
  • Implement evaluation frameworks and quality systems to ensure reliability in production-grade AI products.
  • Translate high-leverage AI applications into reliable software by collaborating with Data Science and Product Engineering teams.
  • Develop backend services using Python and integrate them with technologies like Airflow, Snowflake, and dbt.
  • Contribute to the product roadmap by identifying and driving new initiatives for the Agentic Analytics Platform.

What we're looking for

  • 5+ years of working experience in a similar field or environment.
  • Strong backend engineering skills in Python with experience building production services.
  • Hands-on experience with applied LLM systems including RAG, agentic workflows, prompt engineering, and evals.
  • Working knowledge of data infrastructure technologies such as Airflow, Snowflake, and dbt.
  • Strong knowledge of SQL.
  • Experience working with a large codebase on a cross-functional team.
  • Bachelor's degree in Computer Science, computer engineering, electrical engineering, or equivalent work experience.

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