We 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.
The 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.
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.
Задачи
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
Требования
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
Bachelor's degree in Computer Science, computer engineering, electrical engineering, OR equivalent work experience
Будет плюсом
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
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
Условия
168,000 — $177,500 CAD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данных274 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыУдалённо
ГеографияКанадавычитано из текста вакансии
Зарплата≈ 16 036 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-06-03
I
Работодатель
Instacart
40 активных вакансий · вилка работодателя указана в 3%