Solutions Engineer (Chicago)

Responsibilities

• Partner with account executives to scope evaluations, conduct technical discovery, and design use-case-specific POCs.
• Serve as the technical authority during architecture reviews, security and infrastructure discussions, and competitive evaluations.
• Co-architect and co-build production AI agents with customer engineering teams from prototype through rollout.
• Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
• Run demos, trainings, and workshops for developer audiences.
• Advise customers after sale on architecture, best practices, and roadmap decisions.
• Identify expansion opportunities through customer conversations.
• Share field feedback with product and create reusable POC assets, cookbooks, and example code.
• Contribute code upstream when it improves customer outcomes.

Requirements

• 6+ years of experience in solutions engineering, sales engineering, customer engineering, software engineering, founding, or product engineering.
• Experience owning the technical thread of sales cycles, including discovery, POCs, architecture reviews, and competitive evaluations.
• Ability to explain technical tradeoffs clearly, build trust with developer audiences, and support customer decisions.
• Track record of taking responsibility for outcomes rather than only making recommendations.
• Genuine interest in operating AI agents in production.
• Experience deploying AI agents using LangChain, LangGraph, or similar frameworks is preferred.
• Experience with LLM evaluation, observability, or guardrails is preferred.
• Experience with AWS, GCP, Azure, containers, and basic Kubernetes concepts is preferred.
• Experience carrying a technical number or working alongside a sales team on pipeline is preferred.

Benefits

• Medical, dental, and vision coverage.
• Flexible vacation.
• 401(k) plan.
• Meals on in-office days in the US.