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# Backend Engineer

- **Company:** THE GUAC INC.
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, BigQuery, Cloud Computing, Extract Transform Load (ETL), Cursor, Distributed Computing Environment, Python (Programming Language), PostgreSQL, OpenAI, Software Engineering, Google Cloud, Application Enhancement Tool, Retrieval-Augmented Generation, Large Language Models, Claude Code, AI Coding Agents, Backend, Fastapi, Build Management, Information Technology, Dask, Invoking Functions, Terraform, Docker, Programming Languages
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75885712-backend-engineer

## About the Role

* 3+ years of relevant software engineering experience
 * Strong proficiency in Python and associated frameworks (FastAPI or similar)
 * AI-native: you use Claude Code, Cursor, or similar AI coding tools daily and ship significantly faster because of it
 * Hands-on experience building with LLMs - tool use / function calling, RAG, agents, or evals - and familiarity with MCP or similar protocols for connecting models to data and systems
 * Experience designing and operating data-intensive backend systems (ETL, large-scale pipelines, distributed processing)
 * (Bonus) Experience in customer-facing technical roles (e.g. forward deployed engineer)
 * (Bonus) Experience deploying LLM-powered features to production at scale, * Languages & Frameworks: Python, FastAPI, Dagster, Dask
 * Cloud & Infrastructure: GCP, Postgres, BigQuery, Terraform, Docker
 * AI: MCP servers, Anthropic/OpenAI APIs, agentic tooling

Note: this is an in-person 5 days a week, full time job in NYC.

## Description

As a Backend Engineer at Guac, you'll have real impact and ownership over technical decisions, strategy, and product direction. Your responsibilities will include:

 * 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