AI Full-Stack Engineering

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

AI-first engineering

Full-stack development

API integration

Data engineering

Cloud infrastructure

Production troubleshooting

Security & compliance

Tools

Claude

AWS

AI environments

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Position Overview

We are looking for a strong Forward Deployed Engineer (FDE) with hands-on experience in AI-first engineering, full-stack development, enterprise integrations, cloud infrastructure, and end-to-end application deployment.

The ideal candidate should be capable of working independently, collaborating directly with business and technical stakeholders, and taking applications from development through production deployment in enterprise environments.

Key Technical Requirements

AI-First Engineering: Strong understanding of AI-first development, LLM integration, AI-assisted coding, and AI-powered development tools.

Full-Stack Engineering: Hands-on experience in frontend, backend, APIs, and application architecture.

API & Enterprise Integration: REST APIs, Webhooks, OAuth, SAML/SSO, and enterprise application integrations.

Data Engineering: Strong SQL skills, data mapping, data migration, and troubleshooting data integration pipelines.

Cloud & Infrastructure: Containers, CI/CD pipelines, cloud environments, configuration, logging, and monitoring.

Production Troubleshooting: Experience diagnosing deployment and application issues, analyzing logs, identifying root causes, and implementing fixes.

Security & Compliance: Understanding of enterprise security practices, least-privilege access, sensitive data handling, and compliance requirements.

Deployment & Implementation Skills

Independently manage environment setup, application configuration, data migration, deployment, cutover, and rollback planning.

Adapt to existing enterprise technology stacks, particularly Claude + AWS + AI environments.

Identify and resolve technical and operational blockers affecting application adoption.

Create deployment documentation, operational runbooks, and repeatable configurations.

Autonomy & Professional Skills

Ability to work independently in fast-paced and ambiguous environments.

Strong analytical, problem-solving, and troubleshooting capabilities.

Excellent communication and stakeholder management skills.

Ability to identify technical risks, dependencies, security concerns, and scope changes.

Comfortable working directly with business stakeholders, product teams, and enterprise IT teams.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.