Lead Instructor, AI-Augmented Engineering
1 day ago
Over the last few years, the conversation around AI has mostly centered on tools — prompts, copilots, and one-off prototypes.
But the real shift is happening inside the
software development lifecycle itself.
At
ThinkingCode
, we build systems for regulated and mission-critical industries — insurance, industrial AI, healthcare workflows. And we're now launching
ThinkingCode Education
, our learning & talent development arm, to train the next generation of
AI-Augmented Engineers
.
We're looking for
experienced engineers
who:
- Have built and shipped real-world systems
- Are comfortable across at least one major part of the SDLC (Backend, Frontend, Testing, DevOps, Security, PM)
- Have adopted AI into their workflow (not theoretically, but practically — code completion, test generation, architecture exploration, documentation, etc.)
- And most importantly —
care about teaching, mentoring, and shaping engineers.
Role Expectations
You will:
- Teach engineers how to use AI across the software development lifecycle
- Run hands-on workshops and labs (not lectures)
- Demonstrate real-world workflows, tools, and ways of thinking
- Coach learners through projects and career transitions
- Help us evolve a new standard for engineering education in India
This is not a traditional faculty role.
This is
product engineering + mentoring + curriculum shaping + future-of-work design.
Ideal Background
- 4–12+ years of industry experience
- Prior teaching / mentoring / leading a team is a plus (not mandatory)
- Comfortable with AI copilots, prompt-based workflows, and modern tooling
- Enjoy breaking down complex topics simply and clearly
Who this role is perfect for
- Senior engineers who want to move into teaching / leadership
- Tech leads who love mentoring but want more time to do it
- Engineers who believe the future of software is
AI-Augmented
, not AI-replaced
-
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