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About the Role
Latent builds clinical intelligence to help health systems manage pharmacy operations, ensuring patients receive necessary medications and allowing care teams to focus on patient service. This role leads the team developing AI capabilities for Latent's products, owning the production AI approach across clinical and operational workflows.
Responsibilities
- Set the strategy and operating model for Applied AI at Latent
- Lead the team building production AI agents and intelligence systems for clinical and operational workflows
- Own Latent Agent, our evaluation framework, and the shared foundations for new AI use cases
- Establish evaluation practices that drive product, technical, and business decisions
- Make pragmatic build-versus-buy decisions across models, prompting, agent infrastructure, and post-training
- Partner with Product, Engineering, and business leaders to define priorities, metrics, and ownership
- Guide technical direction while empowering technical leads and senior engineers to own execution
- Build, hire, and develop a high-performing team with clear expectations and regular feedback
- Create predictable, visible execution without adding process for its own sake
- Own the reliability of live AI systems, including monitoring, failure handling, and service-level objectives
Requirements
- Built and shipped production-grade LLM agents, not only prototypes or research systems
- Owned live production systems, including on-call responsibilities, reliability, and service-level objectives
- Trained or fine-tuned a model, shipped it, and measured its impact against product or business outcomes
- Strong judgment about when to post-train a model, prompt engineer, improve the agent harness, or use an off-the-shelf capability
- Led teams that shipped products, either as a manager or as a staff-level engineer with significant leadership responsibility
- Can move between strategy and technical detail, read design documents closely, and offer concrete guidance on architecture and tradeoffs
- Partnered closely with Product and stakeholders outside engineering to deliver business outcomes
- Built AI for domains where deep context, complex requirements, or operational constraints define the product
- Made difficult performance and organizational decisions with care and clarity
- Communicate reasoning clearly, including options considered, confidence, and what would change your mind
- Healthcare experience, or experience building systems that use sensitive data, is helpful but not required
Experience Level
- Managerial or Staff-level engineering with significant leadership responsibility
About the Company
- Latent builds clinical intelligence that helps health systems run complex pharmacy operations, giving patients access to the medications they need and helping care teams focus on serving patients.
- The work spans healthcare workflows, enterprise software, and applied AI.
- Engineers work closely with Product and customer-facing teams to understand the problem, build the solution, and own the outcome in production.
- Our teams are small by design. Everyone is expected to understand the customer problem, own their decisions, and follow their work through to measurable outcomes in production.
- We learn by shipping, measuring, and improving.
- We treat evaluations as a core part of product development.
- We invest in models when the product and business need them, and we stay pragmatic about using the simplest approach that works reliably.