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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Researcher, Agentic Systems - **Company:** OpenSpace - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $184,000 - $265,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Cloud Computing, Cyber Security, Information Extraction, Intelligence Analysis, Python (Programming Language), Language Modeling, Spatial Data Infrastructures, Reinforcement Learning, Large Language Models, Multi-Agent Systems, Build Management, Information Technology, Cybercrime, Machine Learning Operations - **Published:** October 28, 2026 - **Apply:** https://www.builtincolorado.com/job/sr-ai-researcher-agentic-systems/11924179?handler=ApplyRedirect ## About the Role Build production agentic AI systems that reason across imagery, point clouds, BIM models, drawings, specifications, and sensor data. Responsibilities include designing multi-step agents, retrieval and grounding systems, tool interfaces, evaluations, model selection, traceable outputs, and production deployment. The role requires multimodal ML expertise, strong Python engineering, spatial-data fluency, and experience taking LLM or VLM systems into production., * 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. ## Description 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., Lead diligence support, M&A integration planning, execution, and operational infrastructure for CrowdStrike's corporate development function. Coordinate cross-functional workstreams, manage change and stakeholder alignment, track integration KPIs and synergies, and report risks to executives. Build repeatable playbooks, templates, governance processes, and AI-enabled tools. Support Falcon Fund portfolio companies through QBRs, financial reporting oversight, partnership coordination, and strategic alignment with CrowdStrike's platform and go-to-market organization., Conduct advanced threat hunting, dark web monitoring, and customer-specific cyber threat intelligence operations. Serve as a trusted advisor to assigned customers, investigate nation-state and criminal threats, prepare actionable intelligence, deliver briefings to technical and executive stakeholders, and respond to customer requests. The role also involves using AI and autonomous agents to improve intelligence analysis and supporting a rotational weekend on-call schedule. Top Skills: AIAPIsAutonomous AgentsLogscale What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute