Deployed Engineer

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

📋 Description

• Collaborate in the design and development of production AI agents alongside customer engineering teams.

• Take ownership of the technical success during pre-sales by crafting proof of concepts (POCs), addressing intricate technical inquiries, and steering evaluations.

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

• Provide post-sale guidance to customers regarding architecture, best practices, and strategic roadmap decisions.

• Conduct technical demonstrations, training sessions, and workshops targeted at developer audiences.

• Gather feedback from the field and contribute to the creation of reusable patterns, cookbooks, and example code that can be leveraged across various customers.

• Occasionally write and contribute code upstream when it significantly enhances customer outcomes.

• Travel to customer sites up to 40% of the time.

⛳️ Requirements

• A minimum of 6 years in a relevant technical position, such as software engineering, customer engineering, solutions engineering, or founding/product engineering.

• Preferably experienced in a startup or scale-up environment.

• Proficient in Python, JavaScript, and foundational systems knowledge.

• Experienced in designing agent-based or LLM-powered applications that go beyond simple API calls, including multi-step workflows, orchestration, and error handling.

• Comfortable engaging directly with customers during POCs, architectural assessments, and technical evaluations.

• Capable of clearly articulating technical trade-offs and establishing trust with developer audiences.

• Accountable for results, not merely providing recommendations.

• Proactive and resourceful, able to navigate challenges as they arise.

• Enthusiastic about operating AI agents in a production setting.

• Nice to have: experience with the deployment of production AI agents, particularly using LangChain, LangGraph, or similar frameworks.

• Nice to have: familiarity with LLM evaluation, observability, or guardrails.

• Nice to have: experience with AWS, GCP, Azure, containers, and fundamental Kubernetes concepts.

• Nice to have: experience in shipping and managing production software while adhering to real-world constraints.

🏝️ Benefits

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Flexible vacation policy.

• 401(k) plan.

• Meals provided on in-office days in the US.

• Variable compensation options for applicable roles.

• Significant equity opportunities.

• Competitive benefits and perks.