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LightTable AI

Staff Software Engineer

Denver, CO, United States

$240,000 to $260,000 USD / year

Apply on jobs.ashbyhq.com About employer

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Job details

Pay: $240,000 to $260,000 USD / year
Posting language: English
Posted: Nov 11, 2026

Original job description

About the company:

LightTable is an AI-powered construction document review platform built for preconstruction teams that was just named one of Fast Company’s Next Big Things in Tech for 2026. We automate cross-document conflict detection across the complex, multi-party workflows that define how data centers and large commercial projects are designed and built. We recently closed our Series A led by Innovation Endeavors and are in active enterprise deployments with some of the largest GCs and data center builders in the country.

We move fast, we care about leverage, and we build with AI. We do this not just for our customers, but internally too. You’ll find a hard working team that will give you an incredible opportunity to quickly grow in your career.

The Role

Objective: Be one of the strongest hands-on engineers on LightTable's lean, AI-native team. Own technical judgment, design, and delivery for a feature area, and help the platform expand from drawing review into new pre-construction workflows without a rewrite. This role is about building, not managing.

Operating Model

Ship complete features end to end inside your pod, across AI, web, backend, and infrastructure, on a schedule the business can plan around
Write and review code every day: design reviews, architectural tradeoffs, and the quality bar inside your feature area are yours
Partner with the CTO, the architecture tech lead, and the pod leads on shared architecture, clean interfaces between feature areas, and no duplicated work
Work side by side with in-house domain experts, design partners, and customers (pre-construction teams, general contractors, and data center builders)
Build with AI coding tools aggressively but thoughtfully, and share with the team where tools like Claude Code and Codex genuinely make it faster

What You’ll Do Own Complete Features End to End

Take features from ambiguous problem to production across a React frontend, a Python (FastAPI) backend, and LLM pipelines
Hold a consistently high engineering bar through code review and design review, and mentor senior engineers by example
Work in a senior, lean team by design: small pods of senior and staff-level engineers where everyone does hands-on work every day

Own Technical Decisions in Your Feature Area

Own design reviews, architectural tradeoffs, and code quality across a React frontend and a Python (FastAPI) backend
Work across a best-tool-for-the-job stack that includes Railway, Clerk, Supabase, S3, Modal, and Grafana, with no lock-in to a single cloud provider
Translate architecture direction into designs, scope, and sequencing you and your pod can execute

Make AI Output Reliable

Build and debug agentic LLM workflows (Pydantic AI for orchestration and provider abstraction) that find real coordination issues
Think like an ML engineer about why a model output is wrong and how to fix it: evaluation, data, and feedback loops with in-house domain experts
Keep quality high as review volume grows, including personalized prioritization that learns from how each customer ranks issues

Solve Hard Document Understanding Problems

Turn high-resolution drawing sets into structured understanding
Triangulate across dozens of document types: drawings, contracts, specifications thousands of pages long, purchase orders, Gantt charts, and field data
Run long, fan-out-heavy jobs efficiently: a single drawing set upload can drive thousands of $’s of API calls and compute over many hours

Scale the Platform

Build the platform foundations that let engineering grow from about ten people toward 15-20 within a year without slowing down
Raise the technical bar for the team through architecture proposals, reusable patterns, and pragmatic tooling
Prepare the platform for new workflows such as estimating, value engineering, and permitting, and later construction and operations

What We’re Looking For We're looking for a hands-on senior engineer who is a builder first: strong product sense and real technical depth, comfortable blurring the lines between engineer, product manager, and designer. Strong computer science fundamentals and fluency in data science and machine learning matter, because many of LightTable's hardest problems are data science problems at heart. The north-star profile is a senior or staff-level engineer (roughly L6) who has owned large systems, set technical direction, and mentored senior engineers, while still shipping every day.

Must-Have Experience

10+ years coding professionally, with deep hands-on ownership of production systems
Senior staff-level technical depth (roughly P6/L6): you have owned large systems and set technical direction as an individual contributor
Startup experience where the lines between code, data, product, and design blur, and comfort operating in that overlap
Strong computer science fundamentals and fluency in data science and machine learning concepts (for example, overfitting and experiment design)
Comfort building with LLMs: you have shipped something real on top of them, or you are clearly hungry to
Strong experience with modern React and Python (FastAPI), or comparable full-stack depth you can transfer quickly
Daily, forward-thinking use of AI coding tools such as Claude Code or OpenAI Codex, with nuance about where they help and where they carry risk
Product thinking and some design sense: you care what the customer touches, and you believe great engineering requires product thinking
A consistently high bar for code quality and design, and comfort giving direct technical feedback in reviews
Deep technical curiosity that has led to expertise across an atypically broad range of topics
Builder mentality in a fast-moving startup: comfort with ambiguity, multiple hats, and an org chart that will keep changing
Based in the Denver Metro area (Boulder works) and in the downtown Denver office Monday, Wednesday, and Thursday.

Nice-to-Have Experience

Past work as a startup founder, CTO, or CPO (a big plus)
Experience as a founding or early engineer at an early-stage startup
Experience with data infrastructure, ML/AI tooling, or AI evaluation systems
Experience with agentic AI systems, computer vision, or document understanding in production
Experience with high-resolution image processing or long-running, fan-out-heavy pipelines

Why Join LightTable AI?

We think LightTable is legitimately and objectively the most exciting AI startup in Colorado, and we would like you to come pressure-test that.
Shape the engineering org at the moment it forms. You are one of the first two pod leaders, not the tenth manager in an existing system.
Work with a CTO who is staying deeply technical, so your judgment is engaged rather than overruled.
Build an AI-first product alongside domain experts in architecture and construction.
Ground-floor opportunity with meaningful equity in a fast-growing company.
Real impact: we are building fast and partnering with some of the largest developers and contractors in the country.

Apply on jobs.ashbyhq.com About employer

More about this job

Skills

React
Python
Grafana
ML
Prioritization
Estimating
Computer science
Machine learning

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Work requirements

Jobs in the United States