AI Software Development Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Software Development Engineer (AI): Building and scaling production-grade data infrastructure for agentic AI systems with an accent on orchestration, reliability, and enterprise integration. Focus on engineering resilient platforms for multi-agent coordination, observability, and adaptive execution in complex environments.
Location: On-site presence required in Phoenix, AZ; Folsom, CA; or Hillsboro, OR
Salary: $195,200–$275,580 USD
Company
is a global leader in semiconductor manufacturing and technology innovation, driving the future of the AI era.
What you will do
- Productionize graph-based orchestration for planner-executor-validator and multi-agent patterns.
- Design and maintain data pipelines connecting distributed enterprise data to a centralized semantic layer.
- Define and track SLIs/SLOs for task completion, reasoning quality, latency, and cost.
- Implement CI/CD practices tailored for agent deployments, including versioning configurations and prompts.
- Build full-stack observability for agent runs, including traces, state transitions, and tool telemetry.
- Optimize compute, storage, and inference paths for sustained agent throughput.
Requirements
- Master’s degree with 5+ years of experience or PhD with 3+ years of experience in Software Engineering, Computer Engineering, or related field.
- Strong proficiency in Python for orchestration, data pipeline development, and platform automation.
- Experience in DevOps, SRE, data engineering, or infrastructure engineering for production AI systems.
- Knowledge of LLM serving, retrieval infrastructure, and runtime control for non-deterministic systems.
- Experience building RAG and knowledge-graph-backed systems for production LLM applications.
- Must be able to work on-site in designated US locations.
Nice to have
- Experience designing multi-agent systems with human-in-the-loop controls.
- Strong experience with Kubernetes, infrastructure as code, and production observability.
- Deep experience with enterprise integration patterns like RBAC and ABAC.
- Track record in production evaluation frameworks for agent quality and safety.
Culture & Benefits
- Competitive total compensation package including base pay and stock bonuses.
- Comprehensive health and retirement benefit programs.
- Generous vacation and time-off policies.
- Opportunity to work on cutting-edge AI infrastructure at a global scale.
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