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AI Software Engineer

4h ago

⚠️ Before applying, please carefully review all the job requirements

Location:
United States
Work Arrangement:
Remote
Experience:
3+ years
Job Type:
Full-time
Company:
Synergy
Salary:
Salary $150K – $175K
Posted:
2026-10-18
Department:
Product Development

Job Overview

  • This listing is for an AI Software Engineer position. The role is remote and is classified as full-time. For salary, the listing states $150. The requirements point towards TypeScript, React.js, REST APIs, Java, AWS and Artificial Intelligence. The listing is aimed at the following profile: 3+ years. For general context: React is a popular library for building interactive user interfaces. REST APIs let the front end and back end of an application exchange data in a structured way. Interested candidates can review the full details below and apply using the link provided on this page.

What These Requirements Mean in Practice

  • ★ TypeScript: Adds types to JavaScript so mistakes are caught earlier; day to day it means defining interfaces and typing function inputs and outputs.
  • ★ React.js: Building user interfaces from reusable components and managing the data that changes on screen.
  • ★ REST APIs: Designing and consuming HTTP endpoints so a front end, mobile app or another service can exchange data.
  • ★ Java: Object-oriented development on the JVM; Spring Boot is commonly used to build web services.
  • ★ AWS: Using cloud platform services for hosting, storage and databases instead of managing physical servers.
  • ★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.

Skills to Brush Up Before Applying

  • ★ TypeScript: interfaces versus type aliases, generics basics, typing API responses
  • ★ React.js: components, props and state, useState and useEffect, lists, forms and conditional rendering
  • ★ REST APIs: HTTP methods and status codes, authentication basics such as tokens, validation and error responses
  • ★ Java: object-oriented principles, collections and streams, Spring Boot basics
  • ★ AWS: core compute and storage services, permissions and access control, basic deployment
  • ★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias

Who May Be a Good Fit for This Role?

  • This role may be suitable for candidates who match the skills and experience described in the requirements. Applicants with working knowledge of TypeScript, React.js, REST APIs, Java, AWS and Artificial Intelligence may feel well prepared for what the listing describes. A remote arrangement may suit people who work well independently and communicate clearly in writing. This is editorial guidance only, and the employer makes the final decision on suitability.

Application Tips

  • Applicants may want to highlight relevant experience with TypeScript, React.js, REST APIs and Java in their CV. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. These are general tips, not requirements stated by the employer.

Prepare for Your Interview

  • These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
  • Q: What benefits does TypeScript give over plain JavaScript on a team project, and what trade-offs have you noticed?
  • Q: How does useEffect work with its dependency array, and what mistakes do people commonly make with it?
  • Q: What makes an API RESTful, and how do you choose HTTP methods and status codes for different operations?
  • Q: How does Spring Boot simplify building a REST service, and what does dependency injection do for you?
  • Q: Which cloud services have you used for hosting or storage, and how did you choose them?
  • Q: Where could AI add value to a typical web application, and what risks should you plan for?
  • Q: How do interfaces and type aliases differ, and when would you choose one over the other?
  • Q: How do state and props differ in React, and how do you decide where state should live?
  • Q: How do you stay organised and communicate clearly when working remotely?

Interested Candidates Fill the Application Form: Apply Here

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