We are looking for an Intermediate Forward Deployed Engineer to join the Scrums.com talent network. You will work close to the customer, translating real operational problems into production software and applied AI workflows. You will configure and extend the Scrums.com AI agent harness, integrate customer systems and deploy solutions through our Software Engineering Orchestration Platform. This is a hands-on engineering role 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 Scrums.com AI agent harness.
- Deploy, observe and improve customer solutions through the Scrums.com 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 you own.
- Investigate incidents, triage support requests and resolve defects with appropriate guidance.
- Measure workflow quality, reliability, latency and cost, then implement practical improvements.
Experience and education
- 3+ 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.