Senior AI/ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI/ML Engineer (LLM Infrastructure): Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations with an accent on distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Focus on designing APIs and orchestration layers, generating synthetic data at scale, provisioning RL training environments, deploying benchmarks and labeling pipelines, and running LLMs efficiently across cloud environments.
Hybrid in Redwood City, CA or San Francisco, CA (three days per week in office)
Salary Range: $192,000 - $240,000 USD
Company
empowers enterprises to transform expert knowledge into specialized AI at scale through data-centric platforms combining academic research and production engineering.
What you will do
- Architect core platform for synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
- Design and evolve APIs, compute services, and orchestration layers for internal and customer-facing applications
- Generate and refine synthetic data at massive scale
- Create and evaluate agentic systems that reason, act, and improve over time
- Provision RL training environments and simulation frameworks for next-generation AI agents
- Deploy benchmarks, datasets, and automated labeling pipelines to accelerate model development
- Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
Requirements
- 6+ years of experience building customer-facing, cloud-native software systems
- Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
Culture & Benefits
- Work in a rapidly scaling company with robust funding and market-proven solutions
- Opportunities to shape priorities, influence strategic decisions, and impact success
- Support for deepening technical expertise, leadership growth, and cross-functional learning
- Environment designed for growth, learning, and shared success
- Commitment to diversity, equal employment opportunities, and accommodations for disabilities
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