RPA & AI Automation Engineer

Spreetail is seeking an RPA & AI Automation Engineer to join our team and help shape the future of fulfillment technology through AI-powered software and intelligent automation. In this role, you’ll build and ship solutions that directly impact our fulfillment centers—from full-stack applications and operational dashboards to AI agents, multimodal workflows, and intelligent automation that solve problems traditional technology can’t. You’ll work closely with FC leaders and operators, leverage cutting-edge tools like Cursor, Claude Code, AWS Bedrock, and n8n, and take ideas from operational pain points all the way to production. If you’re a hands-on builder who moves quickly, embraces emerging AI technology, and wants to see your work create measurable business impact, this is an opportunity to build the future of fulfillment from the ground up.

How you will achieve success:

Build and ship features for the FC App, including FC management dashboards, shift planning, slotting, roster/labor tracking, and operational workflows.
Use AI-assisted development (Cursor, Claude Code, LLM APIs, AWS Bedrock, and orchestration tools like n8n) to build quickly, while owning code quality, cost, latency, and maintainability.
Design and deploy AI-powered solutions and agents for FC operations, including multimodal document/data processing, with appropriate evals, guardrails, observability, QA, security, and documentation.
Partner with FC leadership, operators, and Tech to identify operational pain points, prioritize the automation backlog, integrate data sources (Dayforce, S&OP forecasts, 21-day plan, toolkit tables), and drive solutions through adoption and support.
Continuously expand AI and automation across FC operations, staying current with emerging technologies and communicating timelines, trade-offs, and expectations effectively with business partners.

What experiences will help you in this role:

Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Technology, or a related field.
Full-stack development and coding skills, including Python, SQL, and JavaScript/TypeScript, with the ability to integrate systems, leverage APIs, and build custom solutions beyond no-code tools.
AI-assisted and agentic development experience, including Cursor, Claude Code, LLMs, prompt engineering, AI agents, APIs, and ideally evals, observability/tracing, guardrails, MCP servers, or orchestration tools such as n8n/Agent SDK.
Strong business partnership and delivery skills, with the ability to translate operational needs into software, scope opportunities, iterate quickly based on feedback, and deliver results with increasing independence.
Self-motivated and adaptable, comfortable working in a fast-paced, ambiguous environment; fulfillment, operations, or e-commerce experience is a plus.