Top Tech Jobs & Startup Jobs

Lead end-to-end post-training for LLMs using reinforcement learning and on-policy distillation to improve clinical reasoning, safety, and alignment. Design RL/OPD methods, build reward models and verifiers, create healthcare conversational environments with synthetic data, automate post-training loops, run experiments, and collaborate with research, engineering, and clinical teams to deploy models at scale.

Lead AI deployments for payor customers from planning through launch and adoption. Coordinate cross-functional teams, manage timelines, risks, training, stakeholder alignment, and implementation readiness. Translate payor workflows and business priorities into actionable plans, resolve blockers, guide organizational change, and develop repeatable deployment playbooks. The role requires regular customer travel and close collaboration with product, engineering, implementation, customer success, and clinical teams.

Leads regional customer success for health system partnerships, managing Directors and senior Customer Success Executives. Owns executive relationships, enterprise implementations, clinical workflow integration, customer success metrics, retention and expansion sales. Builds scalable onboarding, training, change-management playbooks and operating frameworks while partnering with Product, Engineering, Clinical, and Sales teams to improve adoption, operational efficiency, patient outcomes, and net revenue retention.

Build, deploy, and operate production conversational AI agents for healthcare customers. Responsibilities include designing RAG pipelines, developing tool-calling and MCP integrations with EHRs and enterprise systems, writing production Python, configuring monitoring, executing go-lives, troubleshooting incidents, and serving as a technical customer partner. The role requires approximately 25% travel to customer sites and quarterly travel to Menlo Park.

As a Senior Staff AI Engineer, define multi-year technical strategy, architect platforms for voice-based AI in healthcare, mentor engineers, and represent the company in external discussions.

Lead Hippocratic AI's social media presence across LinkedIn, TikTok, and X: build TikTok from scratch, create executive and brand content, produce short-form video and graphics, manage content calendar and influencers, source stories from cross-functional teams, use AI agents and analytics to optimize performance, and support broader comms and marketing deliverables.

The LLM Inference Engineer will optimize large language model infrastructure and implement serving architectures, quantization techniques, and latency optimizations. Responsibilities include designing disaggregated serving solutions, benchmarking system performance, and guaranteeing efficient, scalable LLM systems in production.

Drive data-informed decisions through operational reporting, dashboarding, and performance analysis. Split focus on data quality and business reporting, run SQL/Python analyses, build dashboards, produce recurring and ad-hoc reports, and partner with cross-functional GTM and customer teams to surface insights that improve product usage and outcomes.

Serve as technical architect for healthcare AI deployments: scope customer workflows, design and configure agent workflows, define integration architecture, lead project execution, monitor post-launch analytics, and drive continuous optimization while documenting reusable patterns.

Oversee HR operations, compliance, employee experience, and strategic people operations at a growing healthcare AI company. Lead HR initiatives to ensure alignment with business goals and culture during rapid expansion.