AI Engineer

Triunity Software•Jersey City, NJ

37d

About The Position

We are seeking an AI Engineer to join our team. In this role, you will apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under the guidance of senior engineers. You will be responsible for designing, developing, and maintaining high-quality UI and backend services and applications that support AI-driven products and platforms. This includes implementing and integrating RESTful APIs with a focus on security, scalability, and maintainability. You will collaborate with cross-functional teams, including engineering, AI/ML, product, and platform, to deliver end-to-end features. A key part of this role involves writing clean, testable code and participating in code reviews to maintain high engineering standards. You will also assist in troubleshooting, debugging, and resolving production issues, and learn and follow best practices for cloud-native development, reliability, and observability. Staying current with emerging trends in AI, machine learning, and software engineering is crucial, as is providing post-production support.

Requirements

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.

Nice To Haves

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

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.