9 часов назад
Backend Engineer (AI)
170 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (AI): Building high-concurrency backend services for an agentic AI platform with an accent on real-time streaming, workflow state management, and reliable execution of model-driven actions. Focus on designing distributed systems, integrating LLMs into deterministic production pipelines, and optimizing low-latency infrastructure for scalable agent interactions.
Location: San Jose, United States
Salary: $170,000–$400,000 annually
Company
is an artificial intelligence company developing personalized multimodal intelligence and next-generation hardware as a unified interface between humans and machines.
What you will do
- Design and build high-concurrency backend services for agent orchestration, tool execution, and real-time streaming.
- Develop failure handling, retry logic, and state management for long-running agentic workflows.
- Architect foundational APIs, memory retrieval systems, and secure sandboxed execution environments.
- Optimize low-latency streaming and high-throughput data processing.
- Own features from low-level design and prototyping through deployment, monitoring, and performance tuning.
- Implement system instrumentation and automated evaluation frameworks for system health and model-quality regressions.
Requirements
- 5+ years of experience building mission-critical backend systems.
- Expertise in concurrency, networking protocols, distributed systems, horizontal scaling, and production operations.
- Experience integrating LLMs into backend pipelines and handling the failure modes of non-deterministic systems.
- Strong experience with at least one systems-level language, such as Go, Rust, C++, or Java.
- Experience with cloud-native architectures, AWS or GCP, container orchestration, and secure isolated execution sandboxes.
- Ability to communicate architectural tradeoffs and collaborate with model researchers.
Nice to have
- Experience with gRPC and WebSockets for high-performance streaming.
- Experience with vector databases, distributed caching, or custom memory management systems.
- Knowledge of Kubernetes, microservices security, or serverless execution patterns.
- Experience building developer-facing APIs or SDKs.
Culture & Benefits
- Full-time position on a small, high-ownership team.
- Direct collaboration with model researchers and platform engineers.
- Additional compensation components and benefits may be included depending on the role.
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