• Design and deliver end-to-end data center solutions covering compute, storage, and networking • Deploy and manage GPU-based systems (NVIDIA DGX, HGX, or similar) for AI and HPC workloads • Implement and support virtualization platforms (VMware ESXi, vCenter, vSAN, NSX) • Build and manage containerized environments using Kubernetes or related platforms • Automate infrastructure provisioning and operations using Ansible, Terraform, or scripting (Bash/Python) • Conduct infrastructure assessments, capacity planning, and performance tuning • Work closely with networking, storage, and DevOps teams to ensure smooth integration and delivery • Create and maintain technical documentation for customer and internal team

• Define the Standard: Establish technical and operational frameworks for solar + storage, fire safety, and water usage in next-gen data centers. • Drive the Narrative: Reframe solar as critical infrastructure for national security and economic competitiveness. • Build the Coalition: Engage directly with Frontier AI labs, hyperscalers, and energy experts to move solar-first design from concept to pilot. • Navigate Siting: Work with federal and local authorities to define permitting pathways for industrial and public land (e.g., BLM). • Publish the Manifesto: Author and gain external validation for a "Data Center Manifesto" defining best practices for the industry.

• Design, develop, and scale agentic AI systems using Google Agent Development Kit (ADK), ensuring enterprise-grade performance, security, and scalability. • Architect and implement multi-agent workflows, tool orchestration, and stateful conversational systems integrated with Dialogflow CX/ES. • Develop production-grade Python services (FastAPI, Flask, or equivalent) to support middleware, APIs, and enterprise integrations. • Design and deploy scalable solutions on Google Cloud Platform (GCP), leveraging services such as CCAI, Cloud Run, Cloud Functions, Pub/Sub, and BigQuery. • Implement advanced prompt engineering strategies, NLP/NLU best practices, context management, and robust error handling to optimize conversational experiences. • Integrate conversational agents with enterprise platforms (CRM systems, contact centers, databases) while ensuring observability through logging, monitoring, and performance optimization. • Provide technical leadership through architecture reviews, mentorship, best-practice enforcement, and cross-functional collaboration with product, DevOps, and business stakeholders.

Role Description GeminiSense is looking for an Agent Builder, someone who can design, build, and ship AI agent systems that either transform how our company operates or become standalone products our customers pay for. This is not a research role. You will be embedded directly inside GeminiSense, working alongside their teams, understanding their operations, and building AI agents that handle real work: customer service, sales outreach, onboarding, documentation, and more. Some of what you build will replace manual workflows within those companies. Some of it will become new revenue-generating products sold to their customer bases. Either way, it ships to real users. What You'll Do - Build Internal AI Agent Teams: - Design and deploy AI agents that handle operational work across GeminiSense, including customer support tiers 1 and 2, SDR and sales outreach, onboarding automation, content and marketing workflows, and engineering maintenance. - Measure impact in hours of labor replaced or team output increased. - Work directly with portfolio company operators to identify the highest value automation opportunities. - Build External AI Products: - Develop new AI powered products such as vertical voice agents, AI copilots, workflow automation tools, and AI documentation systems tailored to our industry. - Own the product from prototype through launch, including reaching first paying customers. - Ship and Iterate: - Move fast from idea to MVP to production. - Run beta tests with real users, gather feedback, and improve continuously. - Collaborate cross-functionally with product, engineering, and go-to-market teams. Qualifications - Proven track record of building products, tools, projects, startups, or side projects that went live. - Strong working knowledge of AI and machine learning tools, large language models, and agent frameworks. - Ability to go from zero to functional prototype quickly. - Comfort with ambiguity. You will often be defining the problem as much as the solution. - Bias toward action over planning. Nice to Have - Experience building AI agents, voice agents, or workflow automation. - Background in vertical SaaS or B2B product development. - Familiarity with the security industry. - Previous startup or founder experience. - Experience working across multiple product lines or business units. Benefits - Health coverage. - A dedicated building budget for APIs, tools, and infrastructure. Compensation - Base Salary: Competitive. - Variable Compensation: High-upside, performance-driven pay tied directly to the value you create — structured as a percentage of internal cost savings from AI agent deployments and incremental revenue from new AI products. The more impact you drive, the more you earn. Ready to Build With Us? If you're energetic, scrappy, and ready to build something exceptional from the ground up, we would love to hear from you. Required: - Your resume. - A short note (5–10 sentences) describing the first AI agent you would build if you started tomorrow and why.