Jobs at HopHR

Define architectural vision for AI systems, create original products, evaluate new paradigms, and set engineering standards within a senior engineering team.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Lead a high-performing data engineering team to deliver scalable data solutions, drive architectural decisions, and integrate emerging technologies like AI into data workflows.

As a Principal Technical Recruiter, you'll lead high-level searches while integrating AI into recruiting workflows, manage client relationships, and coach on using the AI recruiting platform, Moon Engine.

You will build and maintain ML models, apply NLP techniques, design experiments, and partner with engineering for model deployment.

The Data Scientist will develop predictive models, conduct exploratory data analysis, connect APIs, and collaborate with team members and stakeholders to provide analytical solutions.

As a Staff Engineer, you'll develop and optimize AI models for autonomous agentic systems, collaborating across hardware, software, and product teams.

The Head of Application Development will lead the development team, establish best practices, and implement innovative technologies to align with business needs.

As a Senior Technical Recruiter, you will lead full-cycle searches for technical roles, develop client relationships, and integrate AI into recruiting workflows while learning and growing into a Principal role.

Lead the UX/UI design of complex, data-intensive enterprise applications. Responsibilities include end-to-end design, building prototypes, and maintaining a design system while collaborating with stakeholders and ensuring accessibility standards.

The Senior AI Engineer will architect LLM agents, drive ML lifecycle processes, build GenAI solutions, and lead a data engineering team. Responsibilities include overseeing data architecture, scalable deployments, and mentoring.

Develop and maintain LLM pipelines, design RAG architectures, implement agentic systems, and integrate AI features into data pipelines.

The Product Owner will manage the backlog and strategy for enterprise systems, ensuring alignment between teams and driving clarity in evolving requirements. Responsibilities include prioritizing features, leading agile processes, integrating AI solutions, and collaborating with cross-functional teams to deliver business value.

Lead and develop robust data solutions, manage projects, mentor team members, and collaborate with AI/ML teams to enhance business decisions.

Lead the full lifecycle of AI-driven agentic systems, collaborate across teams to embed AI capabilities in smart devices, and optimize performance and reliability.