Forward Deployed Engineer
Instacart
- Location
- California · New York · Connecticut +18
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 169,000–214,000/yr
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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
- Extend, adapt, and integrate Instacart's core AI capabilities to fit customer ecosystems
- Participate in product reviews, flag platform gaps encountered in the field, and propose concrete changes
- Collaborate closely with the AI Solutions Architect to translate domain requirements and architecture into working software
- Serve as the primary technical point of contact for customers during implementation engagements
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
- 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
- Direct experience with external enterprise customers or technical stakeholders in a consulting or customer-facing capacity
- Strong working knowledge of retail and e-commerce system fundamentals
- Strong communication skills — able to translate field learnings and technical findings into actionable input for R&D and product teams
- Comfort operating in ambiguous, fast-moving environments where the process is not fully defined
Preferred
- Prior work in a forward deployed, embedded engineering, or professional services capacity
- Background at a startup or early-stage company where you wore multiple hats
- Experience in enterprise software implementation, systems integration, or solutions engineering
- Exposure to retail tech, e-commerce, or supply chain systems
Skills
- Python
- LLM APIs
- Function calling
- Agent frameworks
- RAG pipelines
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