1 час назад
Applied AI Engineer
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Generative AI): Building and scaling production-grade AI workflows, REST APIs, integrations, and healthcare applications with an accent on agentic workflows, automation pipelines, and LLM integration. Focus on deploying scalable workflow infrastructure, evaluating state-of-the-art models, and solving complex healthcare automation challenges at production speed.
Location: Palo Alto, United States — hybrid
Salary: $180,000–$250,000 per year, plus equity and benefits.
Company
builds generative AI infrastructure for healthcare, including governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring.
What you will do
- Develop and deploy agentic workflows and automation pipelines, representing approximately 60% of the role.
- Build and maintain production-ready services, REST APIs, and integrations.
- Design, deploy, and scale AI-powered applications across multiple product lines.
- Evaluate and integrate LLMs from OpenAI, Anthropic, Mistral, and other providers into production use cases.
- Collaborate with product, engineering, and design to deliver end-to-end AI features.
- Help build scalable workflow infrastructure supporting more than 100 workflows.
Requirements
- Strong software engineering foundation with solid coding practices and required Python experience.
- Recent experience building AI-powered applications using ChatGPT, Claude, Anthropic, Mistral, or similar tools.
- Hands-on experience developing REST APIs and deploying services to cloud environments, with GCP preferred.
- Understanding of MLOps, model deployment, or workflow automation in production systems.
- Ability to work in a hybrid setup in Palo Alto, United States.
Nice to have
- Bachelor’s degree with 4 years of experience or Master’s degree with 2 years of experience in Computer Science, Engineering, or a related field.
- Transition from software engineering into machine learning.
- Experience with agentic workflows, prompt tuning, evaluation pipelines, or automation frameworks.
- Startup experience and a demonstrated ability to ship quickly in ambiguous environments.
- Exposure to both startup agility and big-tech engineering rigor.
Culture & Benefits
- Mission-driven work focused on transforming healthcare with AI.
- Fast-growing environment with a category-defining product and founding-team opportunities.
- Competitive salary with equity packages.
- Medical, dental, and vision insurance.
- Flexible working hours and hybrid work options.
- Inclusive environment supporting creativity and innovation.
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