AI Engineer

Ai Makers; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Ai Makers is seeking a production AI engineer to build and operate AI systems inside client environments, including retrieval-augmented generation, multi-agent applications, and workflow orchestration. You will connect to client CRM/ERP and other tools, assess data quality, and control costs.

You will ship production systems, create evaluation sets, monitor costs, and handle incident response. You will also explain system behavior to non-technical client teams and own reliability and pragmatic

Qualifications

• Must be able to ship production AI systems beyond prototypes.
• Experience with RAG, multi-agent systems or AI workflow orchestration.
• Proficiency in Python or TypeScript and related tooling.
• Ability to integrate software with established business systems and assess data quality pragmatically.
• Skill in evaluating variable AI outputs and setting quality checks.
• Willingness to own reliability, cost management, and incident response.

Responsibilities

• Implement AI agents and pipelines that connect to client CRM, ERP, and other existing tools, including systems with incomplete or inconsistent data.
• Decide when data problems should be corrected in the source system and when they can be handled in code; document the reasoning.
• Ship production systems such as RAG pipelines, multi-agent applications, and orchestrated workflows.
• Create evaluation sets and regression thresholds before adding features, so changes can be assessed consistently.
• Monitor operating costs and manage model selection and caching to keep production use within budget.
• Respond to production incidents and restore service when systems fail.
• Explain system behavior and practical adjustments to client teams without technical backgrounds.

Skills

RAG & multi-agent systems

Python

LangChain

TypeScript

Claude-based development tools

Production systems experience

Tools

Claude-based development tools

LangChain

CI/CD tooling

Job description

Role overview

Build and operate production AI systems inside client environments, including retrieval-augmented generation, multi-agent applications, and workflow orchestration. The work spans integration with established business systems, evaluation and cost control, incident response, and helping client teams understand and use what is delivered.

Responsibilities

• Implement AI agents and pipelines that connect to client CRM, ERP, and other existing tools, including systems with incomplete or inconsistent data.
• Decide when data problems should be corrected in the source system and when they can be handled in code; document the reasoning.
• Ship production systems such as RAG pipelines, multi-agent applications, and orchestrated workflows.
• Create evaluation sets and regression thresholds before adding features, so changes can be assessed consistently.
• Monitor operating costs and manage model selection and caching to keep production use within budget.
• Respond to production incidents and restore service when systems fail.
• Explain system behavior and practical adjustments to client teams without technical backgrounds.

Requirements

• Ability to build and support software that runs in production, rather than stopping at prototypes.
• Experience or practical capability with RAG, multi-agent systems, or AI workflow orchestration.
• Working familiarity with Python or TypeScript and tools such as LangChain and Claude-based development tools.
• Ability to integrate software with established business systems and make pragmatic decisions about data quality.
• Skill in evaluating variable AI outputs and setting measurable quality checks.
• Readiness to take responsibility for operational reliability, cost management, and incident response.