Artificial Intelligence (AI) Software Deployment Engineer with (JavaScript/TypeScript, React.JS, Node.JS) Expertise [Remote]
$120k - $170kjobgether
- Remote job
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Artificial Intelligence (AI) Software Deployment Engineer with (JavaScript/TypeScript, React.JS, Node.JS) Expertise based in the United States.
This role sits at the intersection of software engineering, AI deployment, testing, automation, and customer delivery.
You will help deploy AI-powered solutions into production environments for critical organizations and contribute directly to product evolution.
As an early member of the engineering team, you will have significant influence over technical decisions, workflows, and customer outcomes.
The position combines hands-on software testing with customer collaboration and the creation of automated deployment workflows.
You will work closely with engineering, product, and customer teams in an agile, fast-moving environment.
Your expertise in JavaScript/TypeScript, Node.js, and React.js will support both product quality and reliable customer implementations.
This is an opportunity to contribute to meaningful AI infrastructure while helping redefine how automation is delivered in production.
Accountabilities
Collaborate with engineering, product, and other cross-functional teams to understand project requirements and contribute to testing strategies.
Develop comprehensive test plans and test cases aligned with business objectives, technical requirements, and user needs.
Perform functional, regression, integration, and performance testing across software products and applications.
Apply both manual and automated testing techniques to achieve strong test coverage and product reliability.
Identify, document, prioritize, and track defects while partnering with development teams to resolve issues efficiently.
Build and maintain automated workflows tailored to customer requirements and deployment needs.
Work directly with customers to understand their requirements, automation objectives, and technical challenges.
Participate in stand-ups, sprint planning, retrospectives, and other agile development activities.
Communicate project progress, testing outcomes, risks, and blockers clearly to relevant stakeholders.
Identify opportunities to improve deployment workflows, testing processes, engineering practices, and team methodologies.
Contribute to the ongoing development, deployment, maintenance, and evolution of core software products.
Help shape technical and product decisions as an early member of the engineering organization.
Requirements
At least 2 years of experience as a software engineer, deployment engineer, or in a comparable technical role.
Professional experience within the technology industry, ideally involving software development, deployment, testing, or customer-facing engineering.
Strong understanding of software testing methodologies, tools, and quality assurance best practices.
Experience performing both manual and automated testing of web and/or mobile applications.
Proficiency with JavaScript/TypeScript, Node.js, and React.js .
Strong analytical skills and exceptional attention to detail when evaluating software behavior and identifying issues.
Strong problem-solving abilities with a proactive approach to diagnosing and resolving technical challenges.
Ability to translate customer requirements into practical technical workflows and solutions.
Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
Comfortable working in an agile, collaborative, and rapidly evolving startup environment.
Willingness to travel occasionally as required.
Must be authorized to work in the United States; visa sponsorship is not available for this position.
Benefits
Salary: $120,000–$170,000 per year.
Work model: Fully remote position within the United States.
Employment type: Permanent, direct-placement opportunity.
Project duration: Permanent.
Travel: Occasional travel expected.
Career impact: Opportunity to join an early engineering team and have meaningful influence on product, technology, and customer outcomes.
AI exposure: Hands-on work deploying AI solutions into production for critical organizations.
Technical scope: Exposure to software automation, AI infrastructure, testing, deployment engineering, and modern JavaScript/TypeScript technologies.
Collaboration: Direct interaction with engineering, product, and customers in a cross-functional environment.
Interview process: Live, two-way virtual interviews.
Relocation: Relocation assistance is not available.
Visa sponsorship: Not available.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
$120k - $170k
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