Jobs at Immunai, Inc.

Build scalable infrastructure for AI agents to access repositories, pipelines, datasets, and compute. Develop CI/CD, testing, evaluation, observability, permissions, approvals, and audit controls for reliable and secure agentic workflows. Monitor agent behavior, optimize performance and costs, and support autonomous multi-agent operations. Collaborate with computational biology and engineering teams to improve AI-enabled research and development workflows.

Leads and develops a 5–7 person data infrastructure team, owning delivery planning, prioritization, agile practices, and continuous improvement. Guides the design and productionization of cloud, data pipeline, orchestration, analytics, and big data systems. Partners across technical, scientific, and business teams while driving automation, AI-first engineering practices, technical quality, and team growth.

Lead architecture and scaling of Immunai's data and AI platforms. Build end-to-end MLOps systems, manage GPU infrastructure and data stack (BigQuery, object storage, orchestration), improve developer experience with self-service platforms, mentor and manage a small ML infra team, and partner on security, compliance, and reliability.

Lead AI research and engineering for multimodal foundation models and reasoning/agent systems. Manage and grow teams of researchers, computational biologists, and engineers; own AI roadmap, model design, evaluation, and productionization. Build scalable training/serving pipelines, champion reproducibility, MLOps, CI/CD and cost-efficient GPU/TPU usage. Translate biological questions into impactful AI projects and align cross-functionally.