Lead Instructor

Syllogic Learning LLC; Princeton (NJ); On-site; USD 55,000 - 83,000; Full time

Job summary

Syllogic Learning LLC is seeking experienced software engineers and technical instructors to lead a 12-week, on-site training program in Princeton, NJ. You will teach hands-on labs in software engineering, cloud computing, and applied AI, guiding students through projects and evaluations.

The role emphasizes mentoring early-career engineers, delivering clear technical feedback, and maintaining production-oriented engineering skills among cohorts.

Qualifications

• Strong background in software engineering, AI/ML, or related technical disciplines.
• Proficiency in Python and modern software development practices.
• Experience with Generative AI, LLMs, RAG, and agentic AI workflows.
• Familiarity with AWS and/or Azure, Docker, APIs, databases, and cloud deployment.

Responsibilities

• Deliver instructor-led technical training covering software engineering, cloud computing, and applied AI.
• Guide students through hands-on labs, real-world engineering projects, and technical assessments.
• Teach modern development practices, system architecture, deployment, and AI integration.
• Mentor early-career engineers as they develop production-oriented engineering skills.
• Evaluate student progress and provide actionable technical feedback.

Skills

Python

Software Engineering

AI/ML

Cloud computing

Communication

Tools

Docker

APIs

AWS

Azure

Databases

Job description

We're Hiring: AI & Software Engineering Instructor - Princeton, NJ (On-Site)

Syllogic Learning LLC is seeking experienced software engineers, AI engineers, and technical instructors to lead intensive, hands-on training programs for aspiring Forward Deployed Engineers (FDEs).

This is a 12-week, full-time, on-site contract engagement in the Princeton, New Jersey area, with opportunities for additional cohorts.

What You'll Do:

• Deliver instructor-led technical training covering software engineering, cloud computing, and applied AI.
• Guide students through hands-on labs, real-world engineering projects, and technical assessments.
• Teach modern development practices, system architecture, deployment, and AI integration.
• Mentor early-career engineers as they develop production-oriented engineering skills.
• Evaluate student progress and provide actionable technical feedback.

Ideal Qualifications:

• Strong professional background in software engineering, AI/ML, or related technical disciplines.
• Proficiency in Python and modern software development practices.
• Experience with Generative AI, LLMs, RAG, and agentic AI workflows.
• Familiarity with AWS and/or Azure, Docker, APIs, databases, and cloud deployment.
• Strong communication skills and the ability to explain complex technical concepts clearly.
• Previous teaching, mentoring, or technical training experience is highly desirable.
• Multiple training cohorts anticipated

We're particularly interested in engineers who enjoy teaching and want to help develop the next generation of AI and software engineering professionals.