AI Engineer

AutomateNexus; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

AutomateNexus is seeking an experienced contract AI engineer to create applied AI systems that tackle practical business problems, from document extraction to content generation and automated decisions. The role covers model integration, custom ML, APIs, and production deployment for client use cases and evolving AI capabilities.

The ideal candidate has hands-on experience in building and deploying AI applications, can span model integration to automation workflows, and can decide when to tailor

Qualifications

• Practical experience building and deploying AI or machine learning applications.
• Ability to work across model integration, application services, and automation workflows.
• Skill in assessing when existing models are suitable and when a custom approach is needed.
• Ability to turn technical experiments into reliable, business-ready solutions.

Responsibilities

• Design AI solutions for tasks such as document processing, content generation, classification, and information extraction.
• Integrate large language models into client workflows and automation systems.
• Develop custom machine learning models when existing tools do not meet a use case.
• Build APIs and services that make AI capabilities available to other systems.
• Evaluate tools and models, prototype ideas, and demonstrate feasibility to clients and internal teams.
• Deploy and monitor production AI systems, handle errors, improve model performance, and contribute reusable components.

Skills

AI/ML development

Model integration

API development

Production deployment

Client communication

Tools

LLMs (GPT/Claude/open-source)

Job description

Role overview

Create applied AI systems that solve practical business problems, from extracting information from documents to generating content and supporting automated decisions. This remote US contract engineering role spans model integration, custom machine learning, APIs, and production deployment, with work shaped by client use cases and emerging AI capabilities.

Responsibilities

• Design AI solutions for tasks such as document processing, content generation, classification, and information extraction.
• Integrate large language models, including hosted and open-source options, into client workflows and automation systems.
• Develop custom machine learning models when existing tools do not meet a use case.
• Build APIs and services that make AI capabilities available to other systems.
• Evaluate tools and models, prototype ideas, and demonstrate feasibility to clients and internal teams.
• Deploy and monitor production AI systems, handle errors, improve model performance, and contribute reusable components.

Requirements

• Practical experience building and deploying AI or machine learning applications.
• Ability to work across model integration, application services, and automation workflows.
• Skill in assessing when existing models are suitable and when a custom approach is needed.
• Ability to turn technical experiments into reliable solutions for real business use.
• Strong communication skills for explaining prototypes and capabilities to clients and colleagues.

Nice to have

• Experience with LLMs, including GPT, Claude, or open-source models; model fine-tuning; and API development.