🕒 yesterday
Architect and build AI SOC capabilities that automate post-detection triage, investigation, evidence synthesis, and response, using production-grade AI systems and scalable security workflows.
Staff Software Engineer- AI Platform
🕒 yesterday
AI Platform InfrastructureLLM InfrastructureFoundation Model APIsDistributed Systems
📜 Description
- Build and operate shared infrastructure for secure, reliable foundation-model access across applications and AI agents.
- Develop model gateways, provider integrations, routing and fallback, usage controls, observability, reliability, and governance capabilities.
- Design scalable production platforms with attention to architecture, security, failure modes, cost, and developer experience.
- Partner with engineering, product, security, infrastructure, and AI application teams to shape platform strategy and execution.
- Establish engineering architecture and quality standards, and mentor and coach engineers.
🛠️ Requirements
- 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).
- 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.
Full job description
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:
Minimum Qualifications:
Preferred KSAs:
AI Infrastructure & Model Platform:
Physical Requirements:
Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
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