Solutions Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Collaborate with account executives to define evaluations, carry out technical discovery, and create customer-tailored proofs of concept.

• Act as the technical expert during architecture assessments, security and infrastructure discussions, and competitive analyses.

• Co-design and co-develop production AI agents alongside customer engineering teams from prototype phase through to deployment.

• Assist customers in deploying and managing conversational agents, research agents, and multi-step workflows.

• Conduct demonstrations, training sessions, and workshops tailored for developer audiences.

• Provide post-sale guidance to customers on architecture, best practices, and strategic decisions at the roadmap level.

• Identify opportunities for expansion through post-sale discussions with customers.

• Relay field insights to product teams.

• Create reusable proof of concept assets, cookbooks, and sample code.

• Contribute code upstream when it enhances customer outcomes.

⛳️ Requirements

• Over 6 years of experience in a relevant technical position such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering.

• Ideally, experience in a startup or scale-up environment.

• Capability to manage the technical thread throughout discovery, proofs of concept, architecture assessments, and competitive evaluations.

• Proficiency in articulating technical trade-offs clearly and fostering trust with developer audiences.

• Proven history of taking ownership of outcomes rather than just providing recommendations.

• Proactive mindset with a willingness to navigate challenges as they arise.

• Authentic interest in operating AI agents in a production environment.

• Experience in deploying AI agents in production, particularly with LangChain, LangGraph, or similar frameworks (preferred).

• Background in managing a technical number or collaborating with a sales team on the pipeline (preferred).

• Familiarity with LLM evaluation, observability, or guardrails (preferred).

• Knowledge of AWS, GCP, or Azure, containers, and fundamental Kubernetes concepts (preferred).

🏝️ Benefits

• Medical coverage

• Dental coverage

• Vision coverage

• Flexible vacation

• 401(k) plan

• Meals provided on in-office days in the US

• Variable compensation for applicable roles

• Significant equity opportunities

• Competitive benefits and perks