Role Description MacPractice is looking for an Agent Builder, someone who can design, build, and ship AI agent systems that either transform how our portfolio companies operate or become standalone products their customers pay for. This is not a research role. You will be embedded directly within MacPractice, working alongside its teams to understand day-to-day operations and build AI agents that handle real work: - Customer support - Sales outreach - Onboarding - Internal documentation - Workflow automation Some of what you build will replace manual processes inside MacPractice. Some of it will evolve into new, revenue-generating capabilities delivered to MacPractice’s customer base. Either way, your work will ship to real users and have immediate, measurable impact. 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. Requirements - Experience building AI agents, voice agents, or workflow automation (Nice to Have). - Background in vertical SaaS or B2B product development (Nice to Have). - Familiarity with industries like HVAC, healthcare, dental, or professional services (Nice to Have). - Previous startup or founder experience (Nice to Have). - Experience working across multiple product lines or business units (Nice to Have). Benefits - Health coverage - Dedicated building budget for APIs, tools, and infrastructure - High ownership. You define what gets built and how. - Equity and growth path tied to the impact you create. - Base Salary: Competitive. - Variable Compensation: Aggressive performance-based pay tied directly to the value you create. - Equity: Available. Details based on role scope and track. Company Description MacPractice, headquartered in Nebraska, provides specialized practice management and clinical software for healthcare providers across the United States. As part of Valsoft Corporation, MacPractice operates with a long-term ownership mindset, focused on product excellence, operational autonomy, and sustainable growth.

• Develop and maintain large-scale systems supporting critical use-cases including frontier model training for AI Infrastructure, driving reliability, operability, and scalability across global public and private clouds. • Collaborate on tooling for HPC, GPU Training, and AI Model training workflows. • Build tools and frameworks to improve observability, define actionable reliability metrics, and enable fast issue resolution, driving continuous improvement in system performance. • Establish frameworks for operational maturity, lead sustainable incident response protocols, and conduct blameless postmortems to improve team efficiency and system resilience. • Implement SRE fundamentals, including incident management, monitoring, and performance optimization, while designing automation tools to reduce manual processes and operational overhead. • Work with engineering teams to deliver innovative solutions, uphold high standards for code and infrastructure, and contribute to hiring for a diverse, high-performing team.

About iBusiness Funding iBusiness Funding is a software and lender service provider specializing in small business lending. Our technology, team, and process enable us to support loans from $10,000 to $25 million for our lending partners. Our technology solutions have been proven to quickly scale our clients’ portfolios without the need for additional overhead. Our flagship product, LenderAI, features end-to-end lending functionality from sales all the way through servicing To date, we’ve processed over $11 billion in SBA and non-SBA volume and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family. Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive! Position Description We are seeking an experienced Senior LLM Engineer to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate the process and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI-driven solutions. Major Areas of Responsibility Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features. Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.

• Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships, studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. • The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions, data lake locality, storage tiering, inference optimization, directly impact their business model and operability. • Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”). • Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward. • Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms. • Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards. • Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage, and be equally rigorous about what not to pursue. • Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction. • Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.