Solutions Engineer
LangChainLLM Orchestration company
Dallas, United States$200,000 - $250,000Senior
Sequoia Capital
Benchmark
IVP
Amplify Partners
CapitalG
Sapphire Ventures
Sales & Account Management
About the role
TL;DR
Own the technical win for AI agent solutions, partnering with sales to drive customer adoption and production deployments.
- •You will work on some of the hardest problems in applied AI, in front of customers, on a clock.
- •Not demos, not research: systems real teams depend on in production.
- •The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.
- •Key Responsibilities Own the technical win.
- •Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows Requirements 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make A track record of taking responsibility for outcomes, not just recommendations
Required skills
LangChainLLMsPythonJavaScriptDockerKubernetesGit
Nice-to-have skills
AWSGoogle CloudAzureReactNode.js
Domain expertise
aideveloper-tools
Benefits & perks
medical, dental, vision, flexible vacation, 401(k)
Tech stack
PythonJavaScriptLangChainLLMsAWSGoogle CloudAzureDockerKubernetesGit