AI Engineer

103; Jersey City (NJ); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k)

Bonus based on performance

Training & development

Job summary

103 is seeking an AI Engineer to design, build, and maintain AI-driven UI and backend services. You will apply AI/ML techniques, integrate secure RESTful APIs, and collaborate across engineering, AI/ML, product, and platform teams to deliver end-to-end features.

The role emphasizes clean, testable code, production support, and staying current with AI trends. A Bachelor’s degree and 2+ years in software engineering are required.

Qualifications

• 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.

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

Job description

Benefits:

• 401(k)
• Bonus based on performance
• Training & development

ROLE:- 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