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AI Native Engineer

Cayuse Holdings
Phoenix, AZ, United States
5 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
$145,600.0 - $208,000.0
Working hours
Regular working hours
Job source
dejobs.org

Tech stack

JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Information Engineering Amazon DynamoDB Python (Programming Language) TypeScript ReactJS State Machines Backend Playwright
+3 more
Front End Software Development Api Gateway Terraform

Job description

AI Native Engineer (Context Engineer / Harness Engineer) A hands-on builder who implements features, agents, skills, and MCP integrations using Claude Code, working within an architecture defined by senior and principal engineers., * Builds and maintains harness components (retrieval, tool invocation, evaluation, observability) under review, and contributes improvements back to the shared base harness.

  • Works through architecture- and systems-level problems under senior review as the path to progression.

Requirements

  • Tech: Claude Code, React / TypeScript / JavaScript / Node.js front end, Python and backend data engineering, AWS (Lambda, S3, DynamoDB, Step Functions, API Gateway, Bedrock), Terraform, Playwright, Azure DevOps.
  • Professional English fluency, written and verbal.
  • AI-enabled and hands-on with Claude Code (or comparable agentic tooling).
  • Timezone overlap of at least 5 hours with PST working hours (8am-6pm PST).
  • Hands-on AWS delivery is required for the engineering roles

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

1:28 min

Directing mixed intelligence as an AI-native engineer

Ayotunde Obasa Ayotunde Obasa · Europe 2026 Virtual

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

Videos

See all
Infrastructure as Code: The Developer's Secret Weapon thumbnail
45:04
LIVE • almost 2 years ago

Infrastructure as Code: The Developer's Secret Weapon

Hennie Francis

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS thumbnail
53:45
JS Congress • over 4 years ago

Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS

Anna Mcdougall

The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next thumbnail
28:33
WWC Europe 2026 • about 1 month ago

The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next

Taroon Mandhana, Sebastian Kister

Implementing Feature Environments with AWS and Terraform thumbnail
42:33
LIVE • almost 4 years ago

Implementing Feature Environments with AWS and Terraform

Thomas Hartenstein

Nest.js - TypeScript in the backend can also be clean thumbnail
24:29
WWC 2024 • almost 2 years ago

Nest.js - TypeScript in the backend can also be clean

Maximilian Otto

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