Forward Deployed AI Engineer
AI summary of the role
This role bridges Latent Labs' frontier generative biology models with pharma/biotech customers, owning the full deployment lifecycle from technical scoping to production-grade delivery.
What you’ll do
- Drive end-to-end technical deployment of Latent Labs models into customer environments, ensuring seamless integration with existing scientific and IT infrastructure.
- Design and build production-grade API integrations, data pipelines and model-serving infrastructure tailored to each customer’s requirements.
- Work on-site or embedded with pharma and biotech partners to scope technical requirements, troubleshoot issues and deliver solutions.
- Serve as the technical point of contact for assigned customers, building trusted relationships and gathering feedback to shape the product roadmap.
What you’ll bring
- 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 and building robust API layers around ML models.
- Direct experience deploying AI systems for external customers.
- Hands-on experience with AWS and ideally other major cloud platforms (GCP, Azure); comfortable with Docker, Kubernetes, CI/CD pipelines.
Technologies
AWS · GCP · Azure · Docker · Kubernetes · CI/CD · API · ML model serving · data pipelines · generative models
About Latent Labs
Generative AI platform licensing frontier biology models to pharma/biotech for designing novel therapeutic proteins without iteration.
Series A · 10–50 people
Source and classification
Production engineering · Evidence for this classification:
Forward Deployed AI Engineer The opportunity We are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech customers to deploy, integrate and optimise our technology within their scientific workflows. This is a highly technical, customer-facing role that combines deep infrastructure expertise with a passion for solving real-world problems in drug discovery and protein engineering. You will work closely with our customers, understanding their unique technical environments and ensuring that our generative biology platform integrates seamlessly with their systems. You will own the full lifecycle of customer deployments - from initial technical scoping through to production-grade delivery - and act as the voice of the customer back
More from the job description
Forward Deployed AI Engineer The opportunity We are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech customers to deploy, integrate and optimise our technology within their scientific workflows. This is a highly technical, customer-facing role that combines deep infrastructure expertise with a passion for solving real-world problems in drug discovery and protein engineering. You will work closely with our customers, understanding their unique technical environments and ensuring that our generative biology platform integrates seamlessly with their systems. You will own the full lifecycle of customer deployments - from initial technical scoping through to production-grade delivery - and act as the voice of the customer back into our product and research teams. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the [... source excerpt omitted ...] ant experience designing, deploying and maintaining infrastructure for large-scale model serving and have hands-on experience building robust API layers around ML models. You are customer-facing and delivery-oriented. You have direct experience deploying AI systems for external customers. You can translate complex technical concepts into clear language for non-technical stakeholders and thrive in environments where customer success is the primary measure of your work. You are fluent in cloud infrastructure. You have hands-on experience with AWS and ideally other major cloud platforms (GCP, Azure). You are comfortable with containerisation (Docker, Kubernetes), CI/CD pipelines, [... source excerpt omitted ...] to senior stakeholders at partner organisations. You are mission driven and adaptable. You are passionate about making a positive impact on the world, whether it’s for patients, customers or beyond. You thrive in a dynamic, fast-paced environment where priorities can shift and you need to context-switch between multiple customer engagements. What sets you apart You have experience with bio or protein design models. You have worked on ML-driven projects in computational biology, protein design, or related life science domains. You understand the unique data challenges and evaluation paradigms of biological modelling. You have contributed to generative modelling innovation. Yo
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