AI Full-Stack Engineering

• Job ID:

J54085

• Job Title:

AI Full-Stack Engineering

• Location:

Austin, TX

• Duration:

14 Months + Extension

• Domain Exposure:

Government

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

• Work Authorization:

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

Job Title: AI Full-Stack Engineering

Location: Austin, TX

Duration: 14Months + Extension

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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.

Equal Opportunity

Employer

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.