11 часов назад
Principal AI Engineer (Agentic AI)
172 200 - 236 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer (Agentic AI): Building secure, scalable, production-ready autonomous AI applications and platform services with an accent on LLM integration, RAG, cloud-native infrastructure, and Python backend engineering. Focus on designing enterprise agentic AI architecture, deploying and monitoring machine learning systems, and building reliable developer tooling, APIs, and CI/CD automation.
Location: Hybrid work with three days per week in-office at one of the designated U.S. Tech Market locations: Louisville, KY; New York City, NY; Dallas, TX; Boston, MA; or Washington, D.C.
Salary: $172,200–$236,900 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services to millions of people through and CenterWell.
What you will do
- Lead enterprise architecture for secure, scalable, and reliable agentic AI applications.
- Build production-ready autonomous AI applications in collaboration with engineering and data science teams.
- Develop Python backend APIs and services for agentic AI platform functionality and data management.
- Build developer tools, CI/CD pipelines, and automation for application development and deployment.
- Manage cloud-based AI services, Kubernetes infrastructure, security controls, and observability systems.
- Set engineering standards, mentor peers, and guide innovation aligned with the AI technology roadmap.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
- 10+ years of professional software or platform engineering experience.
- Deep Python expertise, including production services and shared libraries.
- Hands-on experience with LLM integration, RAG, embeddings, and applied generative AI patterns.
- Machine learning engineering experience covering model deployment, monitoring, evaluation, and lifecycle management.
- Expertise in FastAPI, Flask, REST or gRPC service design, cloud-native development, Docker, and Kubernetes, including at least five years of containerization and orchestration experience.
Nice to have
- Experience with LangChain, LlamaIndex, PydanticAI, or similar generative AI tooling.
- Knowledge of PyTorch or TensorFlow.
- Experience with distributed systems such as Akka or Flink.
- Experience building platforms rather than one-off applications.
- Pragmatic decision-making focused on maintainability and long-term value.
Culture & Benefits
- Medical, dental, and vision benefits.
- 401(k) retirement savings plan.
- Paid time off, company and personal holidays, and paid parental and caregiver leave.
- Short- and long-term disability coverage and life insurance.
- Home or hybrid employees must maintain at least 25 Mbps download and 10 Mbps upload internet service.
- Dedicated home workspace required to protect member PHI and HIPAA information.
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