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Altos Labs

engineering opportunity

Staff AI Platform Engineer

The role involves building the foundation for the safe adoption of AI tools by designing core infrastructure and implementing systems for configuration and evaluation. You will collaborate with leadership to develop an enterprise AI roadmap and manage telemetry for usage and cost reporting.

Redwood City, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Altos Labs?

OUR MISSION

Our mission is to restore cell health and resilience through cell rejuvenation

to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com. [https://altoslabs.com/]

OUR VALUE

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

DIVERSITY AT ALTOS

Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the

second year on the Forbes 2026 Best Startups in America list. At Altos,

exceptional scientists and industry leaders from around the world work together

to advance a shared mission. Our intentional focus is on Belonging, so that all

employees know that they are valued for their unique perspectives. We are all

accountable for sustaining a diverse and inclusive environment.

WHAT YOU WILL CONTRIBUTE TO ALTOS

The Altos Cloud Platform Team is seeking an experienced platform software

engineer to drive the design, development, and maintenance of the Altos Agentic

AI Platform. You will be part of the team responsible for building and managing

agentic and autonomous compute systems used by Altos scientists to conduct

cutting-edge research. Additionally, you will work closely with software

engineers, researchers, and IT teams to build and support systems that are

scalable, reliable, secure, and efficient.

Responsibilities

  • * Implement platform technologies to create, deploy, and monitor AI-enabled
  • scientific applications for internal and external use
  • * Implement network and security controls, including authentication and
  • authorization across dozens of AI-enabled and agentic applications
  • * Design, deploy, and maintain highly resilient, production-grade Kubernetes
  • (k8s) clusters
  • * Implement and fine-tune dynamic compute optimization for just-in-time,
  • node-level autoscaling for compute-heavy and streaming workloads
  • * Utilize service mesh management for complex traffic routing, enforcing mutual
  • TLS (mTLS), handling circuit breaking, and ensuring secure, observable
  • service-to-service communication.
  • * Implement and maintain high-performance MCP and LLM proxies supporting fleets
  • of hundreds of agentic tools
  • * Understand user needs across a wide range of scientific disciplines and build
  • systems that scientists can use productively to create AI-enabled solutions
  • * Optimize system performance and utilization for scientific applications and
  • underlying infrastructure
  • * Work with stakeholders to improve cloud and AI financial operations, driving
  • changes for efficient allocation of resources and cost management
  • * Improve reliability of systems via automation, testing, and continuous
  • integration and delivery
  • * Continuously improve and maintain documentation for our development and
  • deployment processes
  • WHO YOU ARE
  • Required Qualifications
  • * B.S. in Computer Science, or related quantitative field, or equivalent
  • technical experience
  • * 5+ years of experience in a Cloud Infrastructure, DevSecOps, or
  • systems-focused platform software engineering role
  • * 3+ years experience designing microservices architectures and
  • deploying/maintaining production-grade Kubernetes (k8s) infrastructure
  • * 2+ years experience utilizing AI-assisted software development methods
  • * Deep experience architecting and operating cloud solutions on AWS utilizing
  • Infrastructure as Code (IaC) practices (Terraform, CDK, etc.) and
  • orchestration technologies such as Python, Ruby, or Bash
  • * Experience prototyping agentic AI concepts including identity and memory
  • management
  • * Proven track record of building infrastructure for GenAI/LLM systems, AI
  • agents, and high-volume event driven workloads
  • * Experience with monitoring and observability tools, including FinOps best
  • practices
  • * Excited to design, implement, and evangelize computing standards and culture
  • across scientific and technical functions
  • * Enjoys building scalable, secure, and robust systems
  • * Strong communication, collaboration, and presentation skills, including
  • sharing technical topics with non-technical audiences

Preferred Qualifications

  • * Experience supporting the development of scientific software in a life
  • sciences environment
  • * Experience building platforms to accelerate the efforts of software, data,
  • and machine learning engineers
  • * Experience mentoring junior software engineers
  • * Experience writing automated tests across different levels of the test
  • pyramid
  • Cambridge UK salary ranges £97,300 to £128,000
  • Exact compensation may vary based on skills, experience, and location.
  • For UK applicants, before submitting your application:
  • - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice
  • (bit.ly/eu_uk_privacy_notice [https://bit.ly/eu_uk_privacy_notice])
  • - This Privacy Notice is not a contract, express or implied and it does not set
  • terms or conditions of employment.
  • EQUAL OPPORTUNITY EMPLOYMENT
  • We value collaboration and scientific excellence.
  • We believe that a culture of belonging are foundational to scientific innovation
  • and inquiry. At Altos Labs, exceptional scientists and industry leaders from
  • around the world work together to advance a shared mission. Our intentional
  • focus is on Belonging, so that all employees know that they are valued for their
  • unique perspectives. We are all accountable for sustaining an inclusive
  • environment.
  • Altos Labs provides equal employment opportunities to all employees and
  • applicants for employment, without regard to race, color, religion, age, sex,
  • national origin, disability status, genetics, protected veteran status, sexual
  • orientation, gender identity or expression, or any other characteristic
  • protected by federal, state or local laws. Altos prohibits unlawful
  • discrimination and harassment. This policy applies to all terms and conditions
  • of employment, including recruiting, hiring, placement, promotion, termination,
  • layoff, recall, transfer, leaves of absence, compensation and training.
  • Thank you for your interest in Altos Labs where we strive for a culture of
  • scientific excellence, learning, and belonging.
  • Note: Altos Labs will not ask you to download a messaging app for an interview
  • or outlay your own money to get started as an employee. If this sounds like your
  • interaction with people claiming to be with Altos, it is not legitimate and has
  • nothing to do with Altos. Learn more about a common job scam at
  • https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
  • [https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/]

Which skills does this role require?

AI ImplementationCloud PlatformsAWSGCPData PipelinesGenerative AILLM APIsTechnical Due DiligenceInfrastructure DesignTelemetry SystemsCross-functional CollaborationTechnical DocumentationEnterprise Software ImplementationAI GovernanceResponsible AIOperational IntelligenceLLMClaude EnterpriseChatGPTCopilotTelemetryBiotechEnterprise AIInfrastructureCloud ComputingSoftware EngineeringInformation TechnologyNode.jsPythonRubyKubernetesTerraformLLMsPrototyping

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