We’re pioneering the discovery and development of life-changing medicines through the transformative power of artificial intelligence. Backed by Lightspeed, NEA and Sequoia.
About the role
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification.
What they're looking for
- Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field
- Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting
- Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules)
- Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow)
- Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora)
More about this role
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.
This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.
- Design...
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