T
AI Engineer
Terminal
1 hour ago
Full-time
On-site
About Terminal AI
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. About this Role
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. 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. What You’ll Do
Build AI-powered systems that integrate tools, automate workflows, and facilitate real work.
Develop APIs, webhooks, databases, queues, and cloud services to support AI systems.
Debug client workflows and resolve production issues.
Engage with messy business processes to create software solutions that save time.
Design and implement robust agent workflows and internal tools.
Develop client-specific systems that transform operational challenges into opportunities.
Opportunity to be client-facing and gain experience as a Forward Deployed Engineer, if interested Required Skills
Strong software engineering fundamentals in at least one modern language, preferably Python or JavaScript/TypeScript.
Experience building with APIs, databases, internal tools, workflow automation, or production software systems.
Hands-on experience with AI/LLM tools, including OpenAI, Anthropic, LangChain, LangGraph, RAG systems, agents, evals, or similar frameworks.
Ability to understand business processes and translate them into technical systems.
Strong communication skills with both technical and non-technical stakeholders.
Comfort working directly with customers and asking questions that uncover the real problem.
Ability to move quickly from discovery to prototype to production.
Strong judgment around tradeoffs, reliability, security, data quality, and user experience.
Clear written communication, including documentation, implementation plans, and customer updates. Nice to Have
Experience in consulting, solutions engineering, technical product management, startup operations, or customer-facing engineering.
Experience deploying AI systems inside real businesses.
Experience with CRM, sales, marketing, recruiting, support, finance, or operations workflows.
Experience with cloud infrastructure, containers, orchestration, observability, or data pipelines.
Experience building internal tools, dashboards, agents, or automation systems for non-technical teams.
Experience working in fast-moving startup or client-service environments.
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. About this Role
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. 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. What You’ll Do
Build AI-powered systems that integrate tools, automate workflows, and facilitate real work.
Develop APIs, webhooks, databases, queues, and cloud services to support AI systems.
Debug client workflows and resolve production issues.
Engage with messy business processes to create software solutions that save time.
Design and implement robust agent workflows and internal tools.
Develop client-specific systems that transform operational challenges into opportunities.
Opportunity to be client-facing and gain experience as a Forward Deployed Engineer, if interested Required Skills
Strong software engineering fundamentals in at least one modern language, preferably Python or JavaScript/TypeScript.
Experience building with APIs, databases, internal tools, workflow automation, or production software systems.
Hands-on experience with AI/LLM tools, including OpenAI, Anthropic, LangChain, LangGraph, RAG systems, agents, evals, or similar frameworks.
Ability to understand business processes and translate them into technical systems.
Strong communication skills with both technical and non-technical stakeholders.
Comfort working directly with customers and asking questions that uncover the real problem.
Ability to move quickly from discovery to prototype to production.
Strong judgment around tradeoffs, reliability, security, data quality, and user experience.
Clear written communication, including documentation, implementation plans, and customer updates. Nice to Have
Experience in consulting, solutions engineering, technical product management, startup operations, or customer-facing engineering.
Experience deploying AI systems inside real businesses.
Experience with CRM, sales, marketing, recruiting, support, finance, or operations workflows.
Experience with cloud infrastructure, containers, orchestration, observability, or data pipelines.
Experience building internal tools, dashboards, agents, or automation systems for non-technical teams.
Experience working in fast-moving startup or client-service environments.