Strativ Group is seeking a Senior Machine Learning Engineer - LLMs to join their team in the San Francisco Bay Area. The role involves leading the engineering of production-grade LLM and agent systems for healthcare automation.
About the Role
As a Senior Machine Learning Engineer, you will be responsible for the end-to-end engineering of LLM-driven products, including architecture, evaluation, deployment, and monitoring. You will design workflows, build retrieval-augmented systems, and optimize model performance for reliability, latency, and cost. This position requires collaboration with Product, Clinical, and Engineering teams to create compliant, production-ready healthcare solutions.
About You
Required:
5+ years in ML Engineering with strong production experience.
Deep hands-on experience with LLM ecosystems (e.g., Transformers, embeddings, RAG architectures).
Experience building agent-based systems and orchestration frameworks.
Experience deploying models in cloud environments (AWS/GCP/Azure).
Familiarity with model evaluation, monitoring, and reliability engineering.
Comfortable operating in high-ownership, fast-scaling startup environments.
Preferred:
Experience in healthcare, healthtech, or regulated domains.
Benefits
Mission-driven impact: Transforming healthcare workflows at scale.
Serious backing: $30m raised from top-tier investors.
Clear growth trajectory: Scaling from 70 to 200 employees.
Engineering-first culture: Strong emphasis on shipping reliable systems.
Ownership & influence: Early senior hire with architectural input.
Competitive salary + meaningful equity.
Strativ Group
We are a multi award-winning team that does talent solutions. We live for innovation and work with ambitious businesses that make the world a better and safer place.
Company Size: 51-200 employeesStaffing and Recruiting