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Lead AI Engineer
Hiretruss
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
À propos
WHAT WILL YOU WORK ON? This is a senior builder role for someone who can own the full technical execution of AI solutions on client engagements. You will build production-grade applications, manage data pipelines, host and deploy working solutions, and connect systems that clients depend on daily.
You will work alongside an AI Strategy Lead who defines the roadmap and requirements. Your job is to translate those requirements into architecture, build it, and make sure it runs reliably. You are the person who can look at a scoped deliverable and know exactly how to build it, and when the scope needs to change.
WHAT YOU’LL DO
Build and deploy AI-powered workflows, agents, and applications for client engagements
Use Claude Code or similar AI-assisted development tools as a core part of your build workflow
Connect and integrate CRMs (Salesforce, HubSpot), data warehouses, communication tools, and AI platforms
Host and deploy solutions that clients can access and use in production, not just hand off code files
Handle ETL processes, database management, and data transformations as part of building complete solutions
Collaborate with the Strategy Lead to pressure-test feasibility and refine technical requirements before building
Document solutions with enough clarity that the team and client can maintain them
WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?
3 to 6 years of experience building applications, automations, workflows, or internal tools
Active, daily use of Claude Code or a comparable AI-assisted development tool as part of your workflow
Experience with APIs, webhooks, and system integrations at a level beyond basic connectors
Hands-on experience with LLMs in production workflows, including prompt engineering, API integrations, and agent design
Familiarity with hosting and deploying web applications or services (not just running scripts locally)
Experience with ETL, database management, or data pipeline work
Comfortable working in fast-paced, ambiguous environments where requirements evolve
Experience with the go-to-market tech stack: Salesforce, HubSpot, Gong, Outreach, or similar platforms
Experience building for external clients or stakeholders, not just internal teams
Familiarity with vector databases, RAG architectures, or AI agent frameworks
History of running your own consulting practice, freelance engineering work, or building products independently
TOOLS YOU’LL LIKELY USE ARE THERE ANY OTHER REQUIREMENTS?
Background in web application development
Experience working within a consulting or agency delivery model
WHAT WE DON’T NEED
A purist who avoids AI-assisted development tools because they prefer doing everything the traditional way
Someone who needs enterprise-grade planning and six-month timelines before shipping
A machine learning researcher. This is a Generative AI role, not a model training role.
A candidate whose AI experience is limited to using ChatGPT for emails and content
4 hours of overlap with EST
FEATURED BENEFITS
Career Growth
Work with Modern Tech
Remote-Friendly Flexibility
International Experience
Pathway to U.S. Market Opportunities
Stable, Growing Industry
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Compétences linguistiques
- English
Avis aux utilisateurs
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