AI Engineer

Job Description

About Terminal AI

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We are dedicated to building and deploying AI systems that are not only innovative but also practical and effective in real-world applications. Our Agents Lab is the heart of our operations, where we transform agentic products, workflow systems, and client-specific automations into robust infrastructure. We are currently focused on developing personal agents and operational AI systems that enhance speed, learning, and operational leverage for our clients.

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About this Role

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We are dedicated to building and deploying AI systems that are not only innovative but also practical and effective in real-world applications. Our Agents Lab is the heart of our operations, where we transform agentic products, workflow systems, and client-specific automations into robust infrastructure. We are currently focused on developing personal agents and operational AI systems that enhance speed, learning, and operational leverage for our clients.

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The position is located in Miami and will require onsite meetings at our office in the Wynwood neighborhood. Mondays and Wednesdays are required in-office work days.

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What You’ll Do

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• Build AI-powered systems that integrate tools, automate workflows, and facilitate real work.
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• Develop APIs, webhooks, databases, queues, and cloud services to support AI systems.
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• Debug client workflows and resolve production issues.
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• Engage with messy business processes to create software solutions that save time.
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• Design and implement robust agent workflows and internal tools.
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• Develop client-specific systems that transform operational challenges into opportunities.
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• Opportunity to be client-facing and gain experience as a Forward Deployed Engineer, if interested
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Required Skills

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• Strong software engineering fundamentals in at least one modern language, preferably Python or JavaScript/TypeScript.
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• Experience building with APIs, databases, internal tools, workflow automation, or production software systems.
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• Hands-on experience with AI/LLM tools, including OpenAI, Anthropic, LangChain, LangGraph, RAG systems, agents, evals, or similar frameworks.
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• Ability to understand business processes and translate them into technical systems.
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• Strong communication skills with both technical and non-technical stakeholders.
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• Comfort working directly with customers and asking questions that uncover the real problem.
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• Ability to move quickly from discovery to prototype to production.
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• Strong judgment around tradeoffs, reliability, security, data quality, and user experience.
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• Clear written communication, including documentation, implementation plans, and customer updates.
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Nice to Have

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• Experience in consulting, solutions engineering, technical product management, startup operations, or customer-facing engineering.
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• Experience deploying AI systems inside real businesses.
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• Experience with CRM, sales, marketing, recruiting, support, finance, or operations workflows.
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• Experience with cloud infrastructure, containers, orchestration, observability, or data pipelines.
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• Experience building internal tools, dashboards, agents, or automation systems for non-technical teams.
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• Experience working in fast-moving startup or client-service environments.
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