Biotech AI Deployment Engineer — Customer-Facing

Latent Labs Ltd.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Private health insurance

Pension contributions

Generous leave policies

Travel opportunities

Job summary

Latent Labs Ltd. in San Francisco seeks a Forward Deployed AI Engineer to bridge generative models and customers. The role involves deploying AI technologies for pharmaceutical and biotech clients, owning the full deployment lifecycle, and ensuring seamless integration with existing systems.

The ideal candidate has a strong computer science background, experience with large model serving, and a passion for solving real-world problems in drug discovery. Join us to shape the future of synthetic biology.

Qualifications

• Strong educational background in Computer Science or Machine Learning.
• Experience with large-scale model serving and API development.
• Customer-facing experience in deploying AI systems.
• Fluency in cloud infrastructure with AWS.
• Ability to communicate technical concepts to non-technical stakeholders.
• Passion for making a positive global impact.

Responsibilities

• Drive technical deployment of models into customer environments.
• Design production-grade API integrations and data pipelines.
• Work closely with pharma partners to meet technical requirements.
• Ensure security and reliability of deployments.
• Build trusted relationships with customers and gather feedback.

Skills

Software engineering principles

Large model serving

Customer success orientation

Cloud infrastructure (AWS, GCP, Azure)

Strong communication

Adaptability in fast-paced environments

Education

Degree in Computer Science, Machine Learning or related field

Tools

Docker

Kubernetes

Job description

Latent Labs Ltd. in San Francisco seeks a Forward Deployed AI Engineer to bridge generative models and customers. The role involves deploying AI technologies for pharmaceutical and biotech clients, owning the full deployment lifecycle, and ensuring seamless integration with existing systems.

The ideal candidate has a strong computer science background, experience with large model serving, and a passion for solving real-world problems in drug discovery. Join us to shape the future of synthetic biology.