Careeronaut

Staff Software Engineer- AI Platform

Aledade

Remote, United StatesFull-timeRemotePosted 10h ago
Apply NowTailor Your Resume to This Job

Get more DevOps & Infrastructure openings

A short daily email when similar roles appear in Remote. No account needed.

As a Staff Software Engineer on Aledade's AI Core Platform team, you will help build and operate the shared infrastructure that enables applications and AI agents across Aledade to securely and reliably access foundation models.

You will work on the platform capabilities behind model access, including model gateways, cloud AI services, provider integrations, routing and fallback, usage controls, observability, reliability, and model governance.

We’re looking for engineers who think beyond implementing individual features and consider the full lifecycle of production platform systems: architecture, scalability, failure modes, security, observability, operational readiness, cost, and developer experience. You will help evolve the platform as AI adoption grows across Aledade, building reusable and self-service capabilities rather than one-off solutions.

You will work closely with engineers, product partners, security, infrastructure teams, and teams building AI applications and agents. Successful engineers in this role are comfortable operating in ambiguous problem spaces, making pragmatic technical decisions, and building secure, maintainable, observable, and resilient systems.

Primary Duties:

  • Identify and develop scalable and performant solutions. 
  • Work across discipline to shape product strategy and execution.
  • Develop the foundations of code architecture and quality. 
  • Mentor and coach engineers.
  • Set and uphold the standard for engineering processes to support high-quality engineering.

    • Minimum Qualifications:

  • BS/BTech (or higher) in Computer Science, Engineering or a related field required. 
  • 8+ years of production-level experience as an engineer building highly scalable systems.
  • 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
  • 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
  • Experience architecting, developing, and deploying large-scale distributed systems at scale.
  • Experience with cloud technologies, e.g., AWS, Azure, GCP.
  • Experience building continuous integration and continuous development (CI/CD) pipelines.
  • Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).

    • Preferred KSAs:

    AI Infrastructure & Model Platform:
     
  • Experience building or operating production platform infrastructure, distributed systems, developer platforms, or other high-availability shared services.
  • Experience with LLM infrastructure, model gateways, foundation model APIs, or managed AI platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, or similar technologies.
  • Strong experience with cloud infrastructure, preferably AWS, and technologies such as Kubernetes, containers, and infrastructure as a code.
  • Experience designing observability and operational practices for production systems, including metrics, distributed tracing, logging, alerting, SLOs, dashboards and failure handling. 
  • Experience designing APIs and self-service platform capabilities used by other engineering teams.
  • Experience with Identity, access control, secrets management, security and governance for shared infrastructure. 
  • Experience with cost management, usage attribution, quotas, budgets, or capacity management for shared platforms. 
  • Experience operating systems that handle sensitive or regulated data. 
  • Ability to evaluate architectural tradeoffs across reliability, performance, security, cost, scalability and developer experience. 

    • Physical Requirements:

    Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
    Continue to application

    The average job posting receives 250 applications.

    Stand out by tailoring your resume to this specific role. Our AI resume builder highlights the skills and experience that matter most to this employer.

    Tailor Your ResumeBrowse Resume Examples

    Frequently asked questions

    Who is hiring for Staff Software Engineer- AI Platform at Aledade?+
    Aledade is actively hiring for this Staff Software Engineer- AI Platform role. Click "Apply Now" to submit your application directly on Aledade's careers page — Careeronaut doesn't charge employers or candidates for referrals.
    When was this Staff Software Engineer- AI Platform role posted?+
    This listing was first posted on 2026-10-22. We pull the latest copy from the source feed daily, and any role that's taken down gets removed from Careeronaut within seven days so you don't waste time on stale listings.
    How should I apply to this Staff Software Engineer- AI Platform role?+
    Start by tailoring your resume to the posting — most applicants send generic CVs and the first filter recruiters use is keyword relevance. Careeronaut's AI does this automatically: paste the job description, get a matched resume in under a minute, and download as PDF or DOCX.
    Where can I find more DevOps & Infrastructure jobs in Remote?+
    Browse all open devops & infrastructure roles in Remote on the listing pages linked below. You can filter by salary, remote-friendly, and posting date.
    Alert meApply Now