AI Full-Stack Engineering

Ethereum Technologies LLC

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

21 hours ago
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Job summary

Ethereum Technologies seeks a Forward Deployed Engineer to lead AI-first, full-stack development and enterprise integrations. You will own deployment, data migration and cutover plans, working with Claude + AWS in enterprise environments.

You will diagnose deployment issues, implement fixes, and create runbooks and documentation for repeatable configurations. Strong stakeholder communication is essential.

Qualifications

  • AI-first development and integration with LLMs and AI tools.
  • End-to-end full-stack engineering across frontend/backend/APIs.
  • REST APIs, Webhooks, OAuth, SAML/SSO, enterprise integrations.
  • SQL data modeling, migrations and data pipeline troubleshooting.
  • Experience with cloud environments, containers, CI/CD, monitoring.
  • Ability to diagnose deployment issues and implement fixes.
  • Understanding of enterprise security, least-privilege access and compliance.

Responsibilities

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

Skills

AI-first engineering
Full-stack development
API & enterprise integration
Data engineering
Cloud & infrastructure
Production troubleshooting
Security & compliance
Autonomy & stakeholder management

Tools

Claude AI Platform
AWS
CI/CD pipelines
Containers (Docker)

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.

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