Location Designation: Hybrid - 3 days per week
The AI Engineer is an entry-level engineering role designed for early-career technologists who are passionate about artificial intelligence and software engineering. In this role, you will work closely with Senior and Lead AI Engineers, Data Scientists, and Platform Engineers to help build, test, and deploy AI and GenAI solutions.
What You'll Do:- Assist in the development and implementation of AI and ML solutions under the guidance of senior engineers
- Write clean, maintainable, and well-tested Python code following established coding standards
- Support model integration into APIs, services, and batch pipelines
- Participate in data preparation, feature engineering, and model experimentation activities
- Help package models and applications using containerization tools (e.g., Docker)
- Contribute to monitoring, logging, and debugging of AI solutions in development and production environments
- Collaborate with Data Scientists to operationalize trained models
- Participate in code reviews and incorporate feedback from senior engineers
- Assist with documentation of AI solutions, pipelines, and operational procedures
- Stay current with foundational AI/ML concepts, tools, and emerging technologies
- Follow Agile/Scrum processes and actively participate in sprint ceremonies
What You'll Bring:• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
• Up to 2 years of professional experience (internships, co-ops, academic projects, or research experience acceptable)
• Proficiency in Python
• Foundational understanding of AI/GenAI patterns (e.g. RAG, MCP, agentic flow) and libraries such as LangChain/LangGraph
• Familiarity with machine learning concepts and at least one ML/AI library or framework such as sklearn and PyTorch
• Basic understanding of APIs and software development principles
• Exposure to SQL and relational databases
• Familiarity with Linux environments and command-line tools
• Strong problem-solving skills and willingness to learn
• Ability to work effectively in a team-based, collaborative environment
Preferred
• Academic or project experience with NLP or text-based models
• Exposure to cloud platforms (AWS or equivalent) through coursework or projects
• Familiarity with containerization concepts (Docker)
• Basic understanding of version control systems (Git)
• Interest in Generative AI and Large Language Models
Job Level: Pay TransparencySalary Range: $92,601 - $115,700
Overtime eligible:
Discretionary bonus eligible:
Sales bonus eligible:
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our BenefitsWe provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Job Requisition ID: 93505