AI Engineer

Triunity Software, Inc.

Jersey City (NJ)

On-site

USD 95,000 - 135,000

Full time

14 days+

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Benefits offered by this job

401(k)
Bonus based on performance
Training & development

Job summary

Triunity Software, Inc. is seeking an AI Engineer in Jersey City, NJ. You will design and implement UI and backend services to power AI-driven products, collaborating with AI/ML, product, and platform teams.

The role emphasizes clean, testable code, API integration, and ongoing learning of AI trends. You will contribute to reliable, scalable cloud-native systems and provide post-production support.

Qualifications

  • 2+ years in software engineering with UI, backend, JavaScript and Angular.
  • Proficiency in Python, Java, or Go.
  • Translating UX design into code with Angular, Angular Material, NodeJS; OO JavaScript, SASS, CSS3.
  • Knowledge of advanced JavaScript and browser optimizations.
  • Experience with Spring Framework or Spring Boot is a plus.
  • Basic understanding of distributed systems, APIs, backend design.
  • Experience with SQL and/or NoSQL databases.
  • Familiarity with VCS, testing, code reviews.

Responsibilities

  • Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers.
  • Design, develop, and maintain high quality UI and backend services and applications that support AI driven products and platforms.
  • Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.
  • Collaborate with cross functional teams (engineering, AI/ML, product, and platform) to deliver end to end features.
  • Write clean, testable code and participate in code reviews to maintain high engineering standards.
  • Assist in troubleshooting, debugging, and resolving production issues.
  • Learn and follow best practices for cloud native development, reliability, and observability.
  • Stay current with emerging trends in AI, machine learning, and software engineering.
  • Provide post-production support

Skills

JavaScript
Angular
Python
Java
Go
NodeJS
Angular Material
Object-oriented JavaScript
SASS
CSS3

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Spring Framework
Spring Boot
Relational SQL
NoSQL databases

Job description

Benefits
  • 401(k)
  • Bonus based on performance
  • Training & development
AI Engineer
Key Responsibilities
  • Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers.
  • Design, develop, and maintain high quality UI and backend services and applications that support AI driven products and platforms.
  • Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.
  • Collaborate with cross functional teams (engineering, AI/ML, product, and platform) to deliver end to end features.
  • Write clean, testable code and participate in code reviews to maintain high engineering standards.
  • Assist in troubleshooting, debugging, and resolving production issues.
  • Learn and follow best practices for cloud native development, reliability, and observability.
  • Stay current with emerging trends in AI, machine learning, and software engineering.
  • Provide post-production support
Required Qualifications (Non Negotiable)
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 2+ years of experience in software engineering, User Interface, backend development, JavaScript, Angular
  • Proficiency in Python, Java, or Go.
  • Translating user experience design into code using Angular, Angular Material, NodeJS, strong fundamental knowledge of Object-oriented JavaScript, SASS, CSS3
  • Knowledge of advanced JavaScript and browser optimizations
  • Experience with Spring Framework or Spring Boot a plus
  • Basic understanding of distributed systems, APIs, and backend service design.
  • Experience working with relational (SQL) and/or NoSQL databases.
  • Familiarity with software development best practices: version control, testing, and code reviews.
Preferred / Nice To Have Skills
  • Exposure to AI/ML concepts, including machine learning pipelines or LLM based systems.
  • Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG).
  • Experience deploying services in cloud environments (AWS, Azure, or GCP).
  • Interest in agentic AI, automation, or developer productivity tooling
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