Remote Forward Deployed Engineer — AI Workflows & Integrations

Scrums.com; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Scrums.com is hiring an Intermediate Forward Deployed Engineer to work close to enterprise customers and translate real operational problems into production software and applied AI workflows. You will configure an internal AI agent harness, integrate customer systems, and deploy solutions through a software engineering orchestration platform.

This hands‑on role moves between discovery, code, data, deployment, and customer conversations with support from senior technical leaders.

Qualifications

• Three+ years of professional software/data/ML engineering experience.
• Experience building production AI/automation workflows.
• Familiarity with integrating REST APIs, DBs and third‑party services.

Responsibilities

• Understand operational problems with customers and translate them into technical workflows.
• Build and maintain applied AI applications, agents, automations, and integrations using Python and TypeScript.
• Configure AI agent harness tools, permissions, evaluations, and guardrails.
• Deploy, observe, and improve customer solutions through orchestration platforms.
• Connect models to APIs, databases, enterprise apps, and customer data sources.
• Produce production‑quality code, tests, and runbooks.
• Investigate incidents and triage support requests with guidance.
• Measure workflow quality, latency, and cost; implement improvements.

Skills

Python

TypeScript/JavaScript

REST APIs

SQL

Cloud development

LLM / agent workflows

Debugging / explain decisions

Education

Bachelor's degree in CS/Engineering/Data Science or related field

Tools

AWS / GCP / Azure

Job description

Scrums.com is hiring an Intermediate Forward Deployed Engineer to work close to enterprise customers and translate real operational problems into production software and applied AI workflows. You will configure an internal AI agent harness, integrate customer systems, and deploy solutions through a software engineering orchestration platform.

This hands‑on role moves between discovery, code, data, deployment, and customer conversations with support from senior technical leaders.