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Forward Deployed AI Engineer

Latent Labs· AI Integration
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Hybrid (London)Full-timePosted 8mo ago

About the role

Bridge between Latent Labs’ frontier generative models and pharmaceutical/biotech customers. Responsible for deploying, integrating and optimizing the technology within customers’ scientific workflows, with end-to-end ownership from scoping to production-grade delivery in a highly technical, customer-facing role.

Responsibilities

  • Drive the 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.
  • Ensure deployments meet enterprise standards for security, performance and reliability.
  • Serve as the technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams, including spending time working on-site at international partner locations as needed.
  • Gather and synthesise customer feedback, translating it into actionable insights for our product, research and platform teams.
  • Collaborate with internal teams to shape the product roadmap based on real-world deployment learnings.
  • Create technical documentation, integration guides and best-practice resources for customers.
  • Stay on top of the latest developments in ML infrastructure, model serving and cloud-native tooling.
  • Gain a strong working understanding of protein and cell biology as it relates to our product.
  • Participate in knowledge sharing, e.g. organise and present at our internal reading group.

Qualifications

  • You have a strong CS or ML educational background. You hold a degree (BSc, MSc or PhD) in Computer Science, Machine Learning, or a closely related quantitative field. You have a solid grounding in software engineering principles and modern ML frameworks.
  • You have built systems that access large models via APIs. You have significant 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, and cloud-native architectures.
  • You are a strong communicator and collaborator. You work effectively across functions - with research scientists and business executives alike. You are comfortable leading technical discussions, writing clear documentation, and presenting solutions 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.

Skills

Required:CS/ML academic backgroundLarge-model APIsCustomer-facing deploymentsCloud & containerizationCommunication & collaboration
Nice to have:Bio/protein design familiarity

Benefits

  • Private health insurance
  • Pension contributions
  • Generous leave policies (including gender neutral parental leave)
  • Hybrid working
  • Travel opportunities and more
Last updated Aug 5, 2026. Interested? Apply on the company site.

About Latent Labs

Frontier models for all molecules of life

We are making biology programmable to transform health and sustainability for the benefit of all. We build generative models that capture the fundamentals of biology, empowering partners with breakthrough AI to create antibodies, optimize enzymes, and advance genetic engineering.

BiologyAIGenomicsProtein DesignGenetic EngineeringMachine Learning
Company profileWebsite

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