What are the responsibilities and job description for the AI Engineer position at Triunity Software?
Benefits:
- 401(k)
- Bonus based on performance
- Training & development
ROLE:- AI Engineer
Key Responsibilities
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
Salary : $80,000 - $90,000