AI Engineer

Triunity Software•San Francisco, CA

12d•$80,000 - $90,000

About The Position

This role focuses on applying AI/ML technologies to develop and maintain UI and backend services for AI-driven products. The engineer will collaborate with cross-functional teams, write clean, testable code, and follow best practices for cloud-native development. The position also involves troubleshooting, debugging, and providing post-production support, while staying current with AI and software engineering trends.

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
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