Senior Software Engineer, AI-Augmented Development

Senior Software Engineer, AI-Augmented Development

Watertown, MA

R&D - Software / Full-time / On-site apply for this job

The Company ------------

Tutor Intelligence is building the technology and processes to let robots go where theyve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and were combining human and artificial intelligence to lead the charge. Founded by a close-knit group of engineers out of MIT, Tutor Intelligence is an early-stage startup developing state-of-the-art AI-powered robotics for American factories.

The Role ---------

Something has changed. A year ago you wrote code by hand - and you were good at it. Then you started using Claude Code, Cursor, or similar tools and realized the game had fundamentally shifted. Now LLMs write the vast majority of your code, and youre producing more, better software than ever before. You didnt just try these tools - you went all in.

Were looking for a senior software engineer who has lived through this transition and come out the other side more productive, not less rigorous. Someone who understands that AI-augmented development isnt about generating slop - its about a skilled engineer leveraging a force multiplier to ship things that used to take a team of five.

At Tutor, youll build the distributed infrastructure, cloud services, user interfaces, and developer tooling that power intelligent robots in real factories. Your code ships to real robots that pick real things in real warehouses - not another SaaS dashboard. Youll work across the stack - backend services, frontends, CI/CD, ML pipelines, data systems - wherever the highest-leverage work is on any given day. Robotics experience is not required. Strong engineering judgment is. But if youve ever wanted to watch a robot do something because of code you wrote that morning, this is the job.

What Youll Do -------------

• Architect and build core software systems across backend services, cloud infrastructure, internal tools, and user-facing applications
• Ship fast by combining your own engineering expertise with LLM-based development workflows - and help the rest of the team do the same
• Own problems end-to-end: scope them, build them, deploy them, and keep them running in production
• Work directly with robotics engineers, ML engineers, and operations to understand whats needed and deliver it
• See your work come to life on physical robots - debug a deployment in the morning, watch it run on the factory floor in the afternoon
• Identify and eliminate bottlenecks in how the team builds, tests, and deploys software

You ----

• You were a strong software engineer before LLMs entered the picture. You have deep fundamentals - you understand systems design, debugging, performance, and how to write code that doesnt fall over in production.
• Youve gone deep on AI-augmented development. Claude Code, Cursor, Copilot, aider - youve used one or more of these tools extensively and have strong opinions about how to use them well. You can articulate what works, what doesnt, and why a human in the loop still matters.
• You are pragmatic and fast. Youd rather ship something that works today than design the perfect abstraction for next quarter. You have good instincts for when to be careful and when to move.
• You are multidisciplinary. You dont hide behind a title. If the highest-value thing to do is write a React frontend, set up a Kubernetes cluster, or debug a data pipeline, you do it.
• You have 5+ years of professional software engineering experience, with meaningful work in Python.
• You are excited about working on-site with a small, intense team building physical products that operate in the real world. You think robots are cool - and you want to be the reason they get cooler.

Benefits --------

• $140,000 - $190,000 a year
• All offers include generous equity, fully covered health + dental, and unlimited PTO.

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