Forward Deployed Engineer (Intermediate)

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

Role overview

A technology talent network 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. The role involves configuring an internal AI agent harness, integrating customer systems, and deploying solutions through a software engineering orchestration platform. It is a hands‑on engineering position for someone who can move between discovery, code, data, deployment, and customer conversations with support from senior technical leaders.

Responsibilities

• Work with customers, solution architects, and senior Forward Deployed Engineers to understand operational problems and turn them into clear technical workflows
• Build and maintain applied AI applications, agents, automations, and integrations using Python and TypeScript
• Configure tools, context, permissions, evaluations, and guardrails within the AI agent harness
• Deploy, observe, and improve customer solutions through the software engineering orchestration platform
• Connect models and agents to APIs, databases, enterprise applications, and customer data sources
• Write production-quality code, tests, documentation, and runbooks for the workflows owned
• Investigate incidents, triage support requests, and resolve defects with appropriate guidance
• Measure workflow quality, reliability, latency, and cost, then implement practical improvements

Requirements

• Three or more years of professional software engineering, data engineering, or machine learning engineering experience
• Production experience with Python and working knowledge of TypeScript or JavaScript
• Experience integrating REST APIs, databases, and third‑party services
• Working knowledge of SQL and modern cloud development practices
• Familiarity with large language models, retrieval, tool calling, prompt design, or agentic workflows
• Ability to debug unfamiliar systems and explain technical decisions clearly to customers and teammates
• A degree in computer science, engineering, data science, or a related field, or equivalent professional experience

Benefits and work setup

• Remote role based in Lagos, Nigeria, with travel to customer or company offices when deployments require it
• Collaboration primarily during UK, European, and West African business hours
• Access to applied AI deployments tied to real customer operations across fintech, banking, telecommunications, commerce, and logistics
• Equal opportunity employer with reasonable accommodations available during the application and interview process