1 день назад
Principal Engineer, AI
210 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer, AI (Generative AI/ML): Building production-ready AI features for Anaplan’s business planning platform, spanning model integration, backend APIs, conversational interfaces, and agentic workflows with an accent on LLM optimization, RAG, and enterprise ML deployment. Focus on designing scalable GenAI systems, implementing evaluation and observability frameworks, optimizing inference pipelines, and integrating AI capabilities into platform and third-party APIs.
Location: New York City, United States; hybrid work model with two days per week onsite in the New York office
Base salary: $210,000–$285,000 USD per year
Company
provides an AI-infused scenario planning and analysis platform used by more than 2,400 global companies to support business decision-making.
What you will do
- Lead the architecture, design, and production deployment of scalable Generative AI and machine learning systems.
- Develop end-to-end GenAI features, including backend APIs, model integration, monitoring, evaluations, and deployments.
- Integrate and optimize LLMs for business planning use cases through prompt engineering, RAG, fine-tuning, and conversational interfaces.
- Build agentic workflows that make complex planning tasks accessible through natural language.
- Design evaluation, monitoring, logging, and observability frameworks for measuring quality, latency, usage, errors, and model behavior.
- Collaborate with data scientists to productionize ML models and forecasting algorithms.
Requirements
- Extensive professional experience in artificial intelligence, machine learning, or related engineering fields.
- End-to-end experience training and deploying ML models in production environments.
- Deep knowledge of LLM APIs, prompt engineering, conversational AI patterns, and domain-specific LLM fine-tuning.
- Strong expertise in MLOps and LLMOps, including scalable, reliable, and monitorable model deployments.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices, including testing, code review, and CI/CD.
Nice to have
- Master’s or Ph.D. in computer science, artificial intelligence, machine learning, or a related quantitative field.
- Experience with cloud-native ML infrastructure, vector databases, embedding models, and model-serving frameworks.
- Experience with A/B testing, AI experimentation frameworks, model observability tools, open-source ML projects, or research publications.
Culture & Benefits
- Inclusive workplace focused on diversity, equity, inclusion, and belonging.
- Commitment to reasonable accommodation and equitable employment benefits.
- Collaboration across teams and geographies with a customer-focused working culture.
Hiring process
- Extensive interview process involving the recruitment team and hiring manager, conducted by video or in person.
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