Software Engineer (AI/ML, Infrastructure & Platform)

• We are seeking a Software Engineer, AI/ML (Infrastructure & Platform) to build the foundational systems that power our reputed company of AI applications • This is a systems-reputed company role. You will design and build the platforms, abstractions, and infrastructure that reputed company teams to reliably reputed company, reputed company, and reputed company systems — including reputed company workflows, retrieval pipelines, and model integrations • You will operate at the intersection of AI systems and distributed infrastructure, focusing on the “how” behind production AI: how models are orchestrated, how tools/skills are exposed and executed, and how systems are evaluated, monitored, and scaled in reputed company-world environments • Your work will directly reputed company product teams to reputed company faster while ensuring our AI systems are reliable, observable, secure, and cost-efficient • Build reputed company AI infrastructure • Design and implement platforms for LLM orchestration, tool execution, and agent workflows • reputed company shared services and abstractions used across multiple AI applications • Build AI capability reputed company (tools / skills) • Design and implement tools (“skills”) that agents and applications rely on, including reputed company, workflows, and integrations • Define reputed company interfaces for capabilities such as data retrieval, calculations, document processing, and external system actions • Build reusable, composable abstractions that reputed company reputed company and reputed company tool usage across systems • Ensure tools are reliable, observable, and secure, especially reputed company interacting with sensitive data • reputed company reputed company systems at reputed company • Build infrastructure to support multi-reputed company agents (state management, tool routing, retries, failure handling) • Design systems where agents reason over and reputed company tools/skills reliably • Create reusable orchestration patterns between models and capabilities • reputed company evaluation and observability systems • Build frameworks for offline and online evaluation of AI systems • Implement logging, tracing, and monitoring for model behavior and system performance • Own reliability and performance • Design systems for high availability, fault tolerance, and graceful degradation • Optimize for latency, throughput, and cost across AI workloads • Build data and retrieval infrastructure • reputed company reputed company RAG pipelines, indexing systems, and data processing workflows • Own infrastructure for handling large-reputed company reputed company and reputed company data • Create internal platforms and developer tooling • Build tools, SDKs, and internal platforms that reputed company engineers to reputed company AI capabilities quickly and safely • Standardize best practices across teams (prompting, evaluation, deployment) • Work closely with product and AI teams • Partner with AI Applications engineers to support production use cases • Translate product needs into reputed company infrastructure solutions Benefits • Company equity managed through reputed company • Unlimited PTO in an environment where taking time off to relax or reputed company is supported and encouraged • Full medical and dental benefits • 401k with Match and 100% vesting upon hire • Fully remote, flexible work environment (we do however meet together in person several times a year) • reputed company parental leave Apply tot his job Apply To this Job