4 дня назад
Lead Software Engineer (AI)
155 200 - 213 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Engineer (AI): Building AI products from concept through MVP, pilot, and production for clinicians, members, and internal teams with an accent on large language models, RAG pipelines, multi-agent systems, and HIPAA compliance. Focus on designing scalable architectures, rapidly prototyping AI features, deploying production systems, and implementing responsible AI controls.
Location: Remote New York, United States; occasional travel to offices may be required.
Salary: $155,200–$213,400 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare and insurance company providing healthcare and wellness services through and CenterWell.
What you will do
- Own AI products from initial concept through MVP, pilot, and production readiness.
- Build and launch proofs of concept and working MVPs, using feedback and real-world usage data to iterate.
- Collaborate with product managers, designers, clinicians, and data stakeholders to translate care workflows into AI features.
- Define architecture and technology decisions while balancing delivery speed, scalability, maintainability, and operational risk.
- Design, deploy, and monitor AI systems in compliance with HIPAA and responsible AI standards.
- Oversee software quality assurance, testing, debugging, and resolution of complex software issues.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience.
- 8+ years of software engineering experience and demonstrated ownership of complex AI systems from architecture through production.
- Hands-on experience with large language models, orchestration frameworks such as LangChain or LlamaIndex, and AI-assisted development tools.
- Strong proficiency in Python, TypeScript, and modern machine learning tooling such as Hugging Face or PyTorch.
- Experience deploying RAG pipelines, vector search systems, model fine-tuning approaches, and multi-agent AI systems in production.
- Understanding of HIPAA requirements and secure handling of protected health information is required.
Nice to have
- Experience in healthcare, clinical informatics, or another highly regulated industry.
- Experience building LLM and agent evaluation frameworks and automated evaluation pipelines.
- Exposure to clinical NLP, medical coding, or EHR/FHIR data standards.
- Experience operating AI systems at scale on AWS, Azure, or GCP.
Culture & Benefits
- Full-time schedule of 40 hours per week with remote work.
- Dedicated home workspace and reliable internet connection of at least 25 Mbps download and 10 Mbps upload are required.
- Medical, dental, and vision coverage, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
- Workplace practices emphasize protection of member PHI and HIPAA information.
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