Principal Agentic AI Engineer

Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property — all from a smartphone scan in minutes. At Hover, we’re driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide — we’re redefining how people understand and interact with their spaces. Why Hover wants you Hover has one of the richest 3D property datasets on the planet. Millions of structures captured, with sub‑inch precision and used by major insurance carriers and construction companies today. The next step is building autonomous AI agentic systems that can perform inspections, damage assessments, design, and cost estimations with speed, accuracy, and operational trust at scale. We’ve already validated the direction. This role is responsible for taking Hover from “we’ve proven it works” to “it runs accurately and reliably at scale.” We’re hiring a Principal Agentic AI Engineer to lead the architecture, technical strategy, and operational rigor behind our next generation of autonomous systems. This is a deeply hands‑on technical leadership role where you’ll stay close to architecture, evaluation systems, debugging, and critical implementation details while helping define the future of agentic AI at Hover. You’ll work at the intersection of: multi‑agent orchestration agentic systems reliability enterprise‑grade AI trust If you want to help define how an entire industry transitions from manual workflows to autonomous systems, this role is for you. You will contribute by Agentic AI Architecture & Technical Leadership Define and evolve Hover's Agentic AI architecture, including multi‑agent orchestration, planning, memory, and tool use. Establish standards for balancing deterministic systems and model‑driven reasoning in production. Lead technical strategy and key architecture decisions while remaining hands‑on with coding, debugging, and optimization. Drive reliability, observability, safety, and operational excellence across AI systems. Navigate ambiguity and provide technical leadership across teams and stakeholders. AI Quality, Evaluation & Reliability Build evaluation systems that measure quality, reliability, accuracy, latency, and business outcomes. Define quality hill‑climbing processes to continuously improve agent performance through experimentation and evaluation. Develop benchmarks, regression testing, and customer‑specific acceptance criteria. Design confidence scoring, fallback mechanisms, escalation paths, and auditability frameworks. Improve production reliability through monitoring, root‑cause analysis, and continuous optimization. Product & Cross‑Functional Leadership Partner with Product, Design, and Operations to deliver AI‑powered customer experiences. Shape human‑AI collaboration patterns, including approvals, overrides, and transparency. Translate business goals into technical roadmaps and measurable outcomes. Communicate technical tradeoffs clearly to executives and stakeholders. Drive alignment and execution across complex, cross‑functional initiatives. Team & Organizational Leadership Set the technical vision and roadmap for Agentic AI at Hover. Mentor engineers and raise the bar on architecture, engineering rigor, and delivery excellence. Foster a culture of ownership, experimentation, and customer focus. Lead through influence and help teams solve complex technical challenges. Remain hands‑on, leveraging AI development tools such as Codex, Claude Code, Cursor, and similar platforms. Your background includes 10+ years of software engineering experience, including leadership of large‑scale production systems. Proven experience building and shipping production AI, LLM, Agentic AI, or autonomous workflow systems. Strong software engineering skills in Python and experience with modern AI/ML frameworks such as PyTorch, TensorFlow, JAX, Hugging Face, or equivalent. Expertise in prompt engineering, context engineering, and optimizing frontier foundation models. Experience designing evaluation systems, benchmarks, regression testing, and AI quality frameworks. Demonstrated success improving AI quality through experimentation and evaluation‑driven development, including quality hill‑climbing methodologies. Strong experience improving reliability, observability, and fault tolerance of AI systems in production. Hands‑on experience fine‑tuning models using SFT, RLHF, RLAIF, DPO, or similar post‑training techniques. Strong coding skills and experience using AI‑assisted development tools such as Codex, Claude Code, Cursor, or equivalent. Preferred Qualifications Experience building enterprise AI systems in insurance, fintech, healthcare, legal, or other high‑trust domains. Experience with multi‑agent systems, tool calling, planning frameworks, memory architectures, and agent orchestration platforms. Expertise in AI evaluation platforms, synthetic data generation, model‑based judges, or red‑teaming. Experience training, fine‑tuning, and evaluating frontier open‑source and proprietary models. Understanding of reinforcement learning, preference optimization, or agent optimization techniques. Track record of technical leadership as a Principal Engineer, Staff+ Engineer, Architect, or equivalent. Proven ability to lead through ambiguity and turn emerging AI technologies into production‑grade solutions. Benefits Compensation – Competitive salary and meaningful equity in a fast‑growing company Healthcare – Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off – Unlimited and flexible vacation policy Paid Family Leave – We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self‑Care Days – A day set aside each month to allow employees to recharge Remote Wellbeing Resources – We provide recurring fitness classes, meditation/mindfulness tools, virtual therapy, and family planning assistance Learning – We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50‑mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full‑time position is $274,000 – $338,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional Information

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