Deployed Engineer partners with customer teams to co-build, deploy, and operate production AI agents using LangChain/LangGraph. Owns technical wins in pre-sales POCs/evaluations and provides post-sale architecture advice, demos, and best practices. Requires 3+ years technical experience, strong Python/JS, and hands-on agent design beyond basic APIs.
150k – 250k/yr
Remote3+ YOESolutions Architecture
About the role
Responsibilities
Co-architect and co-build production AI agents with customer engineering teams.
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows.
Advise customers post-sale on architecture, best practices, and roadmap-level decisions.
Run technical demos, trainings, and workshops for developer audiences.
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers.
Occasionally contribute code upstream when it meaningfully improves customer outcomes.
Requirements
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up.
Strong Python, JavaScript and systems fundamentals.
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling.
Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
Can explain technical tradeoffs clearly and build trust with developer audiences.
Take responsibility for outcomes, not just recommendations.
Bias toward action and enjoy figuring things out as you go.
Excited about operating AI agents in production, not just building demos.
Nice-to-Haves
Deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks.
Worked with LLM evaluation, observability, or guardrails.
Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts.
Shipped and operated production software and comfortable owning systems under real-world constraints.
Compensation
Annual OTE range: $150,000–$250,000 USD.
Competitive compensation that includes base salary, variable compensation, meaningful equity, benefits, and perks. Actual compensation varies based on role, level, and location.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
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