Job Description

Skills: Amazon Web Services (AWS), React, TypeScript, LLMs, LangChain

We’re looking for a fantastic, high-agency software engineer to join our team and push us forward.

Turing Labs is transforming product and R&D innovation across the Consumer Packaged Goods space and beyond. We’re leveraging our own bespoke Machine Learning tools, modern LLMs, and traditional software and data models to build product experiences that users are able to leverage and trust while inventing the products of tomorrow. You’ll work directly with the founder, food science domain experts, ex-math professors, and our customers to define and build our platform.

If you think you’d be a good fit but don’t necessarily meet the profile below, **reach out and tell us why!**

What you'll do:

• Engage deeply with real-world problems and own the complete lifecycle of creating novel, differentiating solutions.
• Talk directly to customers. We want our best problem solvers as close to the users as possible.
• Support and continue to build out our backend traditional compute architecture (React, TypeScript, Bun, Elysia) as well as our agentic infrastructure (LangChain-based).
• Help us expand the horizons of what’s possible by combining machine learning, agentic AI, and traditional software approaches to solve problems no one approach can handle.
• Within 15 days: own implementation of a small feature; Within 30 days: Own end-to-end a major improvement to our agentic toolkit that makes product innovation better; Within 45 days: invent and deliver something that you created based on your conversations with our users, internal experts, etc.

A good fit likely has:

• An aptitude for problem solving and learning. We don’t care exactly what you’ve done before, we care that you can go all-in and accomplish anything you set your mind to.
• 5+ years of software experience building real products/tools that people actually use. We’re trusting you to build a good nucleus!
• Proven high-ownership mindset: ability to work independently and be self-motivated, e.g. former founders or those that took extreme ownership in startups.
• An attitude of getting the most out of AI coding tools - not just as as a speed multiplier for coding, but as a backbone for rethinking processes, revolutionizing work roles, and achieving the impossible.
• Excellent communication and candor. You’ll be directly communicating with customers, users, engineers, domain experts, etc.

It’s a bonus if you have:

• Experience or education in scientific computing, machine learning, data visualization and analytics, domain-specific tools, or similar.
• Experience interfacing with end users/customers.
• Devops knowledge.
• UX and/or product experience. You’ll be building things non-technical users touch, use, and rely on every day.

About us:

• We are backed by $19.75M in funding from Y Combinator, Insight Partners, and elite angels like Eric Ries.
• Our core platform can’t be killed by the next release of ChatGPT.
• We are a small, elite team that is breaking new ground in how engineering work can be done and how problems can be solved.
• We operate with a high agency, high-speed culture: we trust you, we want you to build great things fast.

This position is in person in Palo Alto, CA.

Interview Process

Step 1 - 30 minute phone screen to confirm fit. We are looking for people with strong ownership mentality and problem-solving skillsets, and want to know how you’ve demonstrated that.

Step 2 - 60 minute problem-solving interview. Use any tools you want. We will adapt topic based on in-person vs virtual. This will be split between full-stack engineering technical questions and a problem solving scenario that may or may not rely on code implementation. We want to see how you work, how you think, and how you collect information to find the best possible solution in a quick amount of time.

Step 3 - Meet anyone you haven’t met yet! We’re a small team and want to make sure we all get along.