Instacart

1 month ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Embed with enterprise retailers to design, build, and deploy AI-powered, agentic solutions inside customer environments. Understand complex infrastructures, adapt core AI capabilities, and collaborate with R&D to evolve the platform. Serve as the primary technical contact, translating field learnings into actionable input for product teams while bridging customer needs and engineering work.

Location: Canada

Workplace: Remote

Employment Type: Full time

Key Responsibilities

•Embed with enterprise retail customers and partners to understand their technical environments, data systems, and business workflows.
•Design, build, and deploy AI and agentic solutions tailored to each customer’s specific infrastructure and needs, across Instacart’s full platform suite.
•Extend, adapt, and integrate Instacart’s core AI capabilities to fit customer ecosystems, even when those systems are undocumented or non-standard.
•Maintain a close working relationship with R&D: participate in product reviews, flag platform gaps encountered in the field, and propose concrete changes that would make the platform work better for enterprise customers.
•Collaborate closely with the AI Solutions Architect to translate domain requirements and architecture into working software.

Key Requirements

•10+ years of software engineering experience with a demonstrated ability to write and ship production-quality code.
•Hands-on experience building with LLM APIs, function calling, tool use, agent frameworks, or RAG pipelines—you have shipped something agentic that real users depended on.
•Proficiency in Python or another scripting/backend language commonly used in data-intensive environments.
•Proven ability to integrate with messy, heterogeneous enterprise data environments — undocumented APIs, schema mismatches, auth complexity, and legacy systems that do not behave the way the docs claim.
•Direct experience with external enterprise customers or technical stakeholders in a consulting or customer-facing capacity — earning trust in the room matters as much as writing code.

Experience:10+ yearsRetailE-commerceEnterprise softwareAILLM

Skills:PythonLLMAPIsAgent frameworksRAG pipelinesData integration

Languages:English

Tech Stack:PythonLLM APIsFunction callingAgent frameworksRAGAPIsEnterprise data

Company Brief

Instacart

Operates an online grocery marketplace connecting customers with personal shoppers and local retailers for grocery delivery and pickup. Provides technology, logistics, and advertising solutions to supermarkets and consumer packaged goods brands.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn

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Instacart

1 month ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Canada

Workplace: Remote

Employment Type: Full time

Key Responsibilities

•Embed with enterprise retail customers and partners to understand their technical environments, data systems, and business workflows.
•Design, build, and deploy AI and agentic solutions tailored to each customer’s specific infrastructure and needs, across Instacart’s full platform suite.
•Extend, adapt, and integrate Instacart’s core AI capabilities to fit customer ecosystems, even when those systems are undocumented or non-standard.
•Maintain a close working relationship with R&D: participate in product reviews, flag platform gaps encountered in the field, and propose concrete changes that would make the platform work better for enterprise customers.
•Collaborate closely with the AI Solutions Architect to translate domain requirements and architecture into working software.

Key Requirements

•10+ years of software engineering experience with a demonstrated ability to write and ship production-quality code.
•Hands-on experience building with LLM APIs, function calling, tool use, agent frameworks, or RAG pipelines—you have shipped something agentic that real users depended on.
•Proficiency in Python or another scripting/backend language commonly used in data-intensive environments.
•Proven ability to integrate with messy, heterogeneous enterprise data environments — undocumented APIs, schema mismatches, auth complexity, and legacy systems that do not behave the way the docs claim.
•Direct experience with external enterprise customers or technical stakeholders in a consulting or customer-facing capacity — earning trust in the room matters as much as writing code.

Experience:10+ yearsRetailE-commerceEnterprise softwareAILLM

Skills:PythonLLMAPIsAgent frameworksRAG pipelinesData integration

Languages:English

Tech Stack:PythonLLM APIsFunction callingAgent frameworksRAGAPIsEnterprise data

Company Brief

Instacart

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn