Latent Labs
Forward Deployed AI Engineer
San Francisco · Hybrid · Full-time · Posted Apr 8, 2026
- Education
- Degree (BSc, MSc or PhD) in Computer Science, Machine Learning, or a closely related quantitative field.
About the job
Deploys and integrates Latent Labs’ generative biology models into pharmaceutical and biotech customers’ scientific workflows, from technical scoping through production delivery.
What you'll do
- Lead end-to-end customer deployments, building integrations, data pipelines, and model-serving infrastructure that meet enterprise standards.
- Work directly with customer teams to scope requirements, troubleshoot issues, and provide technical documentation.
- Gather customer feedback and collaborate with product, research, and platform teams to inform product direction.
What they ask for
- Degree (BSc, MSc or PhD) in Computer Science, Machine Learning, or a closely related quantitative field.
- Significant experience designing, deploying, and maintaining infrastructure for large-scale model serving, including robust API layers around ML models.
- Direct experience deploying AI systems for external customers.
- Hands-on experience with AWS, containerisation, CI/CD pipelines, and cloud-native architectures.
Nice to have
- Experience with computational biology, protein design, or related life science models.
- Experience delivering enterprise-grade software or working in pharma or biotech.
Tools
AWS, GCP, Azure, Docker, Kubernetes
AI focus
Deploys and integrates generative biology models for scientific workflows, including drug discovery and protein engineering.
Model-written summary · the original posting is authoritative