Instacart

Technology

SeniorSoftwareEngineer,AIProductivity

CA$168–178k Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, AI Productivity at Instacart. Skills: AI Productivity, Large language models, Intelligent automation, Developer productivity. Design AI-powered services. Build AI-powered services”

What You'll Achieve.

Improve developer velocity; Improve operational efficiency; Reduce toil; Deliver higher-quality experiences

Industry & Context.

Technology
Problems you'll solve

Pragmatic problem solving; Navigating ambiguity

Eligibility Requirements

On-call participation

What They're Looking For.

Must Have

5+ years software engineering experience, 3+ years Python, Go, or Java, 2+ years integrating ML/LLM, Practical cloud platform experience, Proficiency with SQL, Experience building data pipelines, Experience owning services end-to-end, Bachelor's degree or equivalent experience

Nice to Have

Fine-tuning foundation models, Retrieval-augmented generation experience, Vector database experience, Internal developer tools experience, Measuring developer productivity experience, AI safety knowledge, Privacy and compliance knowledge, Event-driven systems experience, Microservices experience, Resilient distributed systems design, Lightweight front-end build experience, Mentorship and technical leadership

What You'll Do.

Design AI-powered services

Build AI-powered services

Operate AI-powered services

Implement back-end services

Integrate foundation models

Apply retrieval-augmented generation

Own projects end-to-end

Define success metrics

Track success metrics

Create shared tooling

Maintain shared tooling

Create shared libraries

Maintain shared libraries

How You'll Work.

Team & Collaboration

Partner with product teams; Partner with developer platform; Partner with ML platform; Partner with security teams; Partner with data teams; Cross-functional teams

Process & Methodology

Requirements gathering, Technical design, Implementation, Testing, Deployment, Observability, Iterative improvements

Full Job Description

We're transforming the grocery industry 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. Learn more about our flexible approach to where we work. Overview Instacart’s AI Productivity team builds AI-powered platforms and tools that help our engineers and operators move faster, reduce toil, and deliver higher-quality experiences for customers, shoppers, retailers, and brand partners. As a Senior Software Engineer on this team, you will design, build, and operate production systems that bring large language models and intelligent automation into everyday workflows across Instacart. You’ll partner closely with product, developer platform, ML platform, security, and data teams to ship reliable, secure, and measurable solutions that improve developer velocity and operational efficiency. You’ll join a collaborative group of approximately 10 engineers who value ownership, iteration, and pragmatic problem solving. If you enjoy rolling up your sleeves, navigating ambiguity, and turning cutting-edge AI into real, scala

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