5 дней назад
Senior Staff GenAI Engineer (AI)
200 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff GenAI Engineer (GenAI and agentic AI): Designing, deploying, and operating scalable generative AI systems for automated reporting and decision support across research, product, and engineering workflows with an accent on LLMs, multimodal reasoning, retrieval augmented generation, and production reliability. Focus on building agentic frameworks, fine-tuning models, integrating enterprise data sources and APIs, and operating large-scale models with observability, governance, CI/CD, and MLOps.
Location: On-site in Sunnyvale, California, United States
Annual salary: $200,000–$235,000 USD, plus eligibility for bonus or incentive pay.
Company
operating company Cepheid develops fast, accurate molecular diagnostic systems and tests for healthcare and life sciences.
What you will do
- Architect, implement, and operationalize agentic AI frameworks for context retrieval, insight generation, automated reporting, and decision support.
- Own the full generative AI lifecycle from problem framing and model development through scalable deployment and ongoing operation.
- Build and fine-tune GenAI models and services integrating diverse data sources, APIs, and enterprise applications.
- Enable multimodal reasoning and intelligent automation across research, product, and engineering workflows.
- Partner with R&D, product, and engineering teams to validate use cases and deliver production-grade solutions.
- Drive model governance, evaluation, safety reviews, monitoring, experimentation standards, and MLOps practices.
Requirements
- Master’s degree in software engineering, computer science, or a similar field with 10+ years of related experience, or a PhD with 8+ years of related experience.
- Strong experience with LLMs, GenAI architectures, agentic systems, model fine-tuning, prompt engineering, and retrieval augmented generation.
- Hands-on experience with AWS, Azure, SQL Server, PostgreSQL, DynamoDB, event pipelines, distributed computing, and distributed storage.
- Experience designing high-performance back-end and front-end services.
- Proficiency in Python, modern ML frameworks, agent-assistant coding frameworks, automated deployment, CI/CD, and testing.
- Proven ability to diagnose complex issues and deliver and operate large-scale models in production.
Culture & Benefits
- Mission-driven work focused on life sciences, diagnostics, biotechnology, and complex health challenges.
- Comprehensive benefits for eligible employees, including medical, dental, and vision insurance.
- Paid time off and 401(k) benefits.
- Continuous improvement through the Business System.
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