Solutions Engineer (Chicago)

What you'll do

• Scope evaluations, conduct technical discovery, and design customer-specific proofs of concept; lead architecture reviews and technical evaluations.
• Co-architect and build AI agents with customer teams, supporting deployment and operation from prototype through production rollout.
• Deliver demos, training, and workshops; advise customers after sale and share field feedback and reusable assets with product teams.

What they ask for

• 6+ years in a relevant technical role, such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering.
• Comfort owning the technical thread in a sales cycle, including discovery, POCs, architecture reviews, and competitive evaluations.
• Ability to explain technical tradeoffs clearly, build trust with developer audiences, and translate discussions into customer decisions.
• Track record of taking responsibility for outcomes and genuine interest in operating AI agents in production.

Nice to have

• Production AI agent deployment experience, especially with LangChain, LangGraph, or similar frameworks; experience with LLM evaluation, observability, or guardrails.
• Experience carrying a technical number or working with a sales team on pipeline; experience with cloud environments, containers, or basic Kubernetes concepts.

Pay

$200,000–$300,000 USD (annual OTE; base-versus-total-pay composition not specified)

Tools

LangChain, LangGraph, AWS, GCP, Azure, Kubernetes

AI focus

Helps customers build, evaluate, deploy, and operate production AI agents, including conversational agents, research agents, and multi-step workflows.