Guac

1 month ago

Backend Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Backend Engineer at Guac in NYC building AI-native backend services for ordering and production planning, designing scalable ETL pipelines, and integrating AI/LLMs to empower store operators and buyers. You’ll own technical decisions, work with a modern stack (Python, FastAPI, Dagster, Dask) and collaborate with customers to integrate AI-enabled forecasting into grocery operations.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build robust backend services that power mission-critical ordering and production planning products.
•Build efficient ETL pipelines to handle billions of rows of data, multiple times per day.
•Build AI-powered tools and agents for internal and customer use — exposing our data and forecasting systems via MCP servers, tool-use APIs, and similar protocols so that LLMs can reason over grocery operations data.
•Collaborate directly with customers' technical teams to understand and integrate with their IT infrastructure.
•Help define how we leverage LLMs across the product surface, from agentic workflows to natural-language interfaces over our forecasts.

Pay and Benefits

Salary: USD 150,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid LeaveMeal AllowanceEquity

Key Requirements

•3+ years of relevant software engineering experience.
•Strong proficiency in Python and frameworks (FastAPI or similar).
•AI-native: daily use of Claude Code, Cursor, or similar AI coding tools.

Experience:3+ years

Skills:PythonFastAPIDagsterDaskGCPPostgresBigQueryTerraformDockerMCP serversAnthropic/OpenAI APIsLLMs

Tech Stack:PythonFastAPIDagsterDaskGCPPostgresBigQueryTerraformDockerMCP serversAnthropic/OpenAI APIs

Company Brief

Guac

Builds AI-powered meeting copilots and collaboration tools that summarize conversations, generate notes and action items, and integrate with workflows to boost team productivity in real time.

Industry: SaaS

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website

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Guac

1 month ago

Backend Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build robust backend services that power mission-critical ordering and production planning products.
•Build efficient ETL pipelines to handle billions of rows of data, multiple times per day.
•Build AI-powered tools and agents for internal and customer use — exposing our data and forecasting systems via MCP servers, tool-use APIs, and similar protocols so that LLMs can reason over grocery operations data.
•Collaborate directly with customers' technical teams to understand and integrate with their IT infrastructure.
•Help define how we leverage LLMs across the product surface, from agentic workflows to natural-language interfaces over our forecasts.

Pay and Benefits

Salary: USD 150,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid LeaveMeal AllowanceEquity

Key Requirements

•3+ years of relevant software engineering experience.
•Strong proficiency in Python and frameworks (FastAPI or similar).
•AI-native: daily use of Claude Code, Cursor, or similar AI coding tools.

Experience:3+ years

Skills:PythonFastAPIDagsterDaskGCPPostgresBigQueryTerraformDockerMCP serversAnthropic/OpenAI APIsLLMs

Tech Stack:PythonFastAPIDagsterDaskGCPPostgresBigQueryTerraformDockerMCP serversAnthropic/OpenAI APIs

Company Brief

Guac

Builds AI-powered meeting copilots and collaboration tools that summarize conversations, generate notes and action items, and integrate with workflows to boost team productivity in real time.

Industry: SaaS

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website