AI Full-Stack Engineering

Cloud Analytics Technologies, LLC; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Austin, TX seeks a Forward Deployed Engineer to drive AI-first development from pilot to production in enterprise environments. You will work independently, align with business and technical stakeholders, and own end-to-end deployments in complex cloud setups.

The role covers full-stack engineering, API and enterprise integrations, data engineering, and production troubleshooting.

Qualifications

• Hands-on AI-first development, LLM integration, and AI-powered tooling.
• Experience in frontend, backend, APIs, and application architecture.
• REST APIs, Webhooks, OAuth, SAML/SSO, and enterprise integrations.
• SQL, data mapping, migration, and data integration troubleshooting.
• Containers, CI/CD, cloud environments, logging and monitoring.
• Diagnose deployment issues, analyze logs, and implement fixes.
• Understanding of enterprise security practices and least-privilege access.

Responsibilities

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

Skills

AI-first engineering

Full-stack engineering

API & enterprise integration

Data engineering

Cloud & infrastructure

Production troubleshooting

Security & compliance

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.

Some of our Business Ventures - Knowledge Analytics

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