Deployed Engineer (Early Career- SF)

Job summary

Responsibilities

You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly.

• Co-architect and co-build production AI agents with customer engineering teams and customers
• 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
• Build and run tailored demos, trainings, and workshops for developer audiences

What they're looking for

• 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or…
• Strong Python, JavaScript and systems fundamentals
• Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
• Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust…
• Excited to work directly with customers during POCs, architecture reviews, and technical evaluations

Tech stack

• LangGraph
• Python
• AWS
• GCP
• Azure
• Kubernetes