AI-First Full-Stack Engineer | Cloud & Enterprise Deploy

Machine Learning Technologies, LLC; Austin (TX); Sur place; USD 130 000 - 190 000; Plein temps

Résumé du poste

Machine Learning Technologies, LLC is seeking a Forward Deployed Engineer to lead AI-first engineering and full-stack deployments in enterprise environments. You will work directly with business and technical stakeholders to move applications from development to production, ensuring robust integration, security, and scalable infrastructure.

The role emphasizes independence, strong troubleshooting, and collaboration across IT and product teams.

Qualifications

• Hands-on AI-first development and LLM integration, with practical tooling experience.
• Strong SQL, data mapping, data migration, and troubleshooting data pipelines.
• Experience with REST APIs, Webhooks, OAuth, SAML/SSO and enterprise integrations.
• Cloud/infra expertise: containers, CI/CD, logging, monitoring for production systems.
• Ability to diagnose production issues, identify root causes, and implement fixes.
• Understanding of enterprise security practices and least-privilege access.

Responsabilités

• Independently manage environment setup, application configuration, data migration, deployment, cutover, and rollback planning.
• Adapt to enterprise stacks, particularly Claude + AWS + AI environments.
• Identify and resolve blockers affecting application adoption in enterprises.
• Create deployment documentation, runbooks, and repeatable configurations.

Connaissances

AI-first engineering

Full-stack development

API integration

Data engineering

Cloud infrastructure

Production troubleshooting

Security & compliance

Outils

Claude

AWS

AI environments

Description du poste

Machine Learning Technologies, LLC is seeking a Forward Deployed Engineer to lead AI-first engineering and full-stack deployments in enterprise environments. You will work directly with business and technical stakeholders to move applications from development to production, ensuring robust integration, security, and scalable infrastructure.

The role emphasizes independence, strong troubleshooting, and collaboration across IT and product teams.