---
title: 'Sr. AI Researcher, Agentic Systems at OpenSpace'
canonical: 'https://feeny.ai/job/sr-ai-researcher-agentic-systems-openspace-united-states-xhjca30m0b8g'
type: 'job'
last_seen: '2026-10-30'
---

# Sr. AI Researcher, Agentic Systems at OpenSpace

- **Company:** OpenSpace
- **Location:** United States
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-10-30
- **Apply:** https://www.openspace.ai/careers?gh_jid=7986376003

## Job description

At OpenSpace, we’re redefining how the world’s most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what’s happening on-site, helping them build faster, safer, and with greater confidence.

But what truly sets us apart is our people. We hire curious, driven teammates who love solving hard problems, taking ownership, and making a real-world impact. Great people build great culture—and apparently it shows. Forbes has named OpenSpace one of America’s Best Startup Employers five years in a row. Come see what all the fuss is about ✨

The role:

The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the newer streams coming off mobile capture, wearables, and field audio. Our computer vision team builds the perception primitives that determine what is in a capture. You will build the layer above, combining those primitives with frontier models to answer the questions project teams actually ask, and making the answers verifiable enough that a builder will act on them.

The work is applied research. The hard problems are deciding what an agent should see out of a four-dimensional site record, designing the tools it can call, and proving it is right often enough to ship. By the time you are calling a frontier API, the interesting decisions have already been made.

What you will be doing:

- Design and build agent systems that plan and execute multi-step tasks across imagery, geometry, and documents.
- Own the context layer. Build retrieval and grounding over a spatially and temporally indexed site record so an agent gets the evidence a question actually needs.
- Design the tool surface: the primitives an agent calls to locate a component, compare two captures, read a region of a drawing, or query a BIM element.
- Build evaluations for tasks where ground truth is ambiguous, then use them to make honest calls about what is ready and what is not.
- Choose the right model for each step. Frontier API, open-weight model, fine-tuned small model, or classical CV, weighed against cost, latency, and accuracy at production volume.
- Make outputs traceable. Every claim should point back to the pixel, sheet, or spec section that supports it.
- Prototype quickly, kill what doesn't work, and partner with platform engineers to ship what does.

What we are looking for:

- M.S./Ph.D. in a related field or equivalent industry experience.
- 5+ years building ML systems, including at least one LLM or VLM-based system you took to production and kept running. We will ask what broke.
- Experience designing evaluations from scratch where ground truth is expensive, sparse, or contested.
- Strong multimodal fluency: vision-language models, embeddings and retrieval, context design, and fine-tuning when it earns its cost.
- Solid engineering. Python, async orchestration, tracing and cost instrumentation. You build your own harness.
- Comfort with spatial data. You don't need SLAM depth, but coordinate frames, camera poses, and projections shouldn't slow you down.
- Judgment about what is worth automating, and the willingness to say when the answer is nothing yet.

Nice to have:

- Post-training or reinforcement learning on agent trajectories.
- Document understanding over technical drawings, specifications, or other structured PDFs.
- Sensor streams beyond core imagery, such as mobile capture, wearables, or field audio.
- Experience in construction, robotics, geospatial, or another domain where models meet the physical world.

Base Salary: $184,000 - $265,000

The Base Salary range represents the low and high end of the anticipated salary range for this position across all US locations including but not limited to CA, CO, NY, WA, NV, MD, CT and RI. The determination of this anticipated Base Salary involves the consideration of many factors in making compensation decisions including but not limited to: location of candidate, unique skill sets, experience, training, performance, licensure and certifications, as well as other business and organizational needs. Our anticipated Base Salary determination is just one component of OpenSpace’s competitive total rewards strategy that also includes equity awards, 401k match, as well as other region-specific health and wellness benefits.

Our US Benefits include:

- 🩺 100% employer-paid medical, dental, and vision coverage
- 🌴 Flexible paid time off
- 💰 401(k) with company match
- 👶 Paid parental leave
- 🏡 Home office stipend
- 🤝 Employee referral program
- ✈️ Annual company retreats and team gatherings

#LI-Remote

OpenSpace welcomes employees from varied backgrounds and walks of life, and it’s reflected in our diverse community. OpenSpace is proud to be an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

## About OpenSpace

## Company Overview
- **One-liner**: OpenSpace provides a visual intelligence platform that captures construction site reality using smartphones, 360° cameras, drones, and laser scanners, then applies AI to turn that imagery into actionable insights for builders.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Jeevan Kalanithi (CEO), Michael Fleischman (CTO), Philip Decamp (Chief Engineer)

## Core Business
- **Primary industry**: Construction technology (PropTech / ConTech)
- **Target customers**: B2B – general contractors, subcontractors, owners, and project managers in commercial, residential, and infrastructure construction
- **Mission or purpose**: To fundamentally simplify how the world gets built by turning jobsite reality into intelligence that drives better, faster decisions.

## Products & Services
- **OpenSpace Capture**: Reality capture solution that automatically maps photos and 360° video to plans and BIM models, creating a timestamped visual record. (SaaS + mobile app)
- **OpenSpace BIM+**: Add-on that brings user-friendly 3D tools to the field, enabling BIM-to-as-built comparison. (SaaS)
- **OpenSpace Track**: AI-powered materials progress tracking that automates the measurement of installed quantities. (SaaS)
- **OpenSpace Field**: Image-based task management with AI Autolocation for field teams. (SaaS)
- **OpenSpace Air**: All-in-one drone imagery management tool. (SaaS)
- **Field Notes**: Visual communication feature that lets team members add voice notes and annotations directly on captured images. (Feature)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (latest round: Series D in 2022 totalling ~$111M)
- **Key Metric**: Total funding of **$200.4M** (as of 2026); annual revenue of **$15.0M** (estimated by third-party data)
- **Notable Investors/Partners**: PSP Growth (lead Series D), Taronga Ventures, GreenPoint Partners, National Science Foundation; strategic integrations with **Procore** and **Autodesk**
- **Growth Signals**: 69 billion ft² captured; 414,000 users across 131 countries; 243 employees (+33.7% YoY); 55% of employees promoted in last two years; ranked on Forbes’ “America’s Best Startup Employers” 2026

## Competitive Advantages
- **Spatial AI technology** that automatically aligns captures to plans and BIM without manual tagging
- **Multi-modal capture** (smartphone, 360° camera, drone, laser scanner) within a single platform
- **Deep integrations** with industry-standard tools (Procore, Autodesk) reduce workflow friction
- **Field-first design** – built by and for construction professionals, with 41% of employees having construction experience
- **Proven ROI** – customers report 95% faster site documentation, 50% reduction in travel costs, and 20% reduction in scheduling delays

## Strategic Focus
- Continue expanding the Visual Intelligence platform with more AI-driven workflows (progress tracking, quality assurance, safety analytics)
- Deepen integrations and partnerships to become the central “system of record” for jobsite data
- Grow global footprint (already in 23 countries) with localized support and sales teams
- Maintain a fully remote, distributed workforce to access talent worldwide

## Why Work Here
- **Fully remote** environment – no mandatory office days; team members in 23+ countries
- **Equity** for all full-time roles
- **Flexible time off** and paid parental leave
- **$500 home office budget** and 100% paid medical, dental, and vision for U.S. employees
- **Employer 401k matching**
- **High growth and internal mobility** – 55% of employees promoted in the past two years; 94% of engineering team at senior or staff level
- **Mission-driven culture** – work on problems that address affordable housing, infrastructure, and climate resilience
- **In-person company retreats** and virtual gatherings foster connection across a distributed team
- Rated **4.2/5.0 on LinkedIn** (68 reviews), with strong marks for compensation (4.5) and culture (4.1)

## Sources
1. [openspace.ai](https://www.openspace.ai/)
2. [openspace.ai/careers](https://www.openspace.ai/careers/)
3. [linkedin.com](https://www.linkedin.com/company/openspace.ai)
4. [openspace.ai/about](https://www.openspace.ai/about/)
5. [support.openspace.ai](https://support.openspace.ai/hc/en-us/articles/41951086810387-What-is-OpenSpace)

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