Backend Engineer — AI-Driven Data & Forecasting (NYC, Onsite)

DevHub

New York (NY)

On-site

USD 150,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Healthcare (employer-paid)
Unlimited vacation
Equinox membership
Office meals

Job summary

Guac is building AI-native tools to forecast grocery demand and optimize inventory for retailers. As a Backend Engineer in NYC, you’ll own technical decisions, design robust backend services, and ship data-heavy pipelines powering ordering and production planning products.

You will work hands-on with LLMs, tool-use and AI-native tooling, collaborating with customers’ tech teams to integrate with their IT infrastructure.

Qualifications

  • 3+ years of relevant software engineering experience.

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 and act on 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

Skills

Python
LLMs
ETL
Distributed processing
Customer-facing
AI-native tooling

Tools

FastAPI
Dagster
Dask
GCP
Postgres
BigQuery
Terraform
Docker

Job description

Guac is building AI-native tools to forecast grocery demand and optimize inventory for retailers. As a Backend Engineer in NYC, you’ll own technical decisions, design robust backend services, and ship data-heavy pipelines powering ordering and production planning products.

You will work hands-on with LLMs, tool-use and AI-native tooling, collaborating with customers’ tech teams to integrate with their IT infrastructure.

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