Embedded AI Engineer for Enterprise — Flexible Location

EngineersOfAI; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Instacart's Enterprise Solutions team embeds with enterprise retailers and partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod—part startup, part consultancy—defining the playbook as we go.

As a Forward Deployed Engineer, you are Instacart's hands-on technical presence inside enterprise customer environments. You will sit inside retailers' ecosystems, understand their infrastructure, and build agentic AI solutions on top of it.

Qualifications

• 5+ years of software engineering experience delivering production code.
• Hands-on with LLM APIs, function calling, tools, and agent frameworks.
• Proficiency in Python or similar scripting language.
• Experience integrating with heterogeneous enterprise data systems.
• Direct experience with external enterprise customers or technical stakeholders.

Responsibilities

• Embed with enterprise customers to understand environments and data workflows.
• Design, build, and deploy AI and agentic solutions across Instacart's platform suite.
• Extend, adapt, and integrate Instacart's AI capabilities into customer ecosystems.
• Maintain collaboration with R&D; report platform gaps and propose concrete changes.
• Collaborate with the AI Solutions Architect to translate requirements into software.
• Serve as the primary technical contact during implementations.

Skills

5+ years

LLM APIs

Agent frameworks

RAG pipelines

Python

Data integration

Customer-facing

Tools

Python

Job description

Instacart's Enterprise Solutions team embeds with enterprise retailers and partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod—part startup, part consultancy—defining the playbook as we go.

As a Forward Deployed Engineer, you are Instacart's hands-on technical presence inside enterprise customer environments. You will sit inside retailers' ecosystems, understand their infrastructure, and build agentic AI solutions on top of it.