Full-Stack Engineer: Build React UIs & Go/Node APIs

TechDigital Group; Austin (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

A forward-thinking company is seeking a Full Stack Software Engineer to join their dynamic team in Austin. This role offers the opportunity to work on innovative web applications, utilizing cutting-edge technologies such as TypeScript, React, and various back-end languages. You'll be responsible for both front-end and back-end development, ensuring seamless integration and functionality. With a focus on collaboration and creativity, you'll have the chance to contribute to exciting projects that push the boundaries of technology. If you're passionate about building impactful software and thrive in a fast-paced environment, this position is perfect for you.

Qualifications

• 2+ years of front-end development with TypeScript, HTML, and CSS.
• Experience with back-end languages like Go, Rust, NodeJS, or Python.

Responsibilities

• Develop web applications using front-end frameworks and libraries.
• Architect RESTful APIs and manage front-end state effectively.

Skills

TypeScript

HTML

CSS

React

NodeJS

Python

Go

Rust

GraphQL

Functional Programming

Tools

Mocha

Jest

Chai

Enzyme

Cypress

Playwright

ORM

CSS Pre-processing (Sass, Less, Stylus)

Job description

Drive enterprise adoption of agentic AI — orchestrate the people, process, and communication side of rollout so that engineering, business, and risk stakeholders embrace and effectively use the platform.

Required Qualifications:
• 7–10 years in change management, digital transformation, or enterprise technology adoption.
• Demonstrated experience leading adoption for large-scale AI, automation, or intelligent workflow deployments.
• Working knowledge of agentic AI — multi-agent systems, LLM-powered tools, human-in-the-loop design.
• PMP a plus.
• Exceptional executive communication and cross-functional stakeholder management skills.

Roles/Responsibilities:
• Develop AI adoption roadmaps covering stakeholder sequencing, change impact assessments, and go-live milestones.
• Conduct workflow assessments to identify resistance patterns and role-level impacts before deployment.
• Facilitate executive briefings and build internal AI champion networks across business units.
• Design and deliver role-specific training programs, enablement assets, and sandbox learning environments.
• Track adoption KPIs (usage rates, productivity deltas, confidence scores) and translate insights into targeted interventions.
• Embed responsible AI principles — transparency, accountability, human oversight — into every rollout design.
• Collaborate with IT, legal, and compliance to ensure deployments operate within governance guardrails.


Key role:
Build and execute the adoption strategy: stakeholder mapping, persona analysis, value-realization plans, success metrics.
Run change-impact assessments across squads, business units, and operating teams; identify and address resistance.
Partner with HR, L&D, Risk, Legal, and Compliance on responsible-AI policy rollout, acceptable-use guidelines, and audit readiness.
Define and track adoption KPIs (active users, tasks automated, time saved, defect deflection) and present to executive sponsors.
Establish feedback loops between users and the engineering team; manage the intake of feature requests, defects, and risks.
Lead rollout waves: pilot MVP → define entry/exit criteria, comms plans, and rollback playbooks.
Strong understanding of how AI/LLM/agentic tools change knowledge-worker and developer workflows.
Excellent executive communication, facilitation, and stakeholder-management skills.
Comfort with responsible AI principles, model risk, and enterprise compliance frameworks.