8 часов назад
Senior Applied AI Software Engineer (AI)
141 100 - 194 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Software Engineer (AI) (Healthcare AI): Building production-grade AI agents and generative AI applications for healthcare with an accent on agent orchestration, RAG, tool use, workflow automation, and secure scalable services. Focus on designing autonomous agents, optimizing prompts and context, implementing evaluation and safety guardrails, and operating HIPAA-compliant AI systems.
Location: Hybrid office position with designated Tech Market locations in New York City, Louisville, KY, and Dallas, TX
Salary: $141,100–$194,000 per year, plus eligibility for a bonus incentive plan
Company
is a U.S. healthcare company operating through insurance services and CenterWell healthcare services.
What you will do
- Develop production-grade AI agents and generative AI applications for healthcare.
- Build agent orchestration, RAG pipelines, tool-use workflows, and personalized assistance experiences.
- Design secure, scalable AI services using Python APIs, modern web integration, and frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Improve AI quality through prompt and context optimization, evaluation frameworks, safety guardrails, monitoring, and human-in-the-loop validation.
- Design, deploy, and maintain autonomous or semi-autonomous agents with tool invocation, memory, workflow orchestration, and multi-step reasoning.
- Partner with product, clinical, data, and compliance teams to deliver measurable value in HIPAA-compliant environments.
Requirements
- At least 5 years of professional software engineering experience, including advanced Python development and scalable production-grade full-stack applications.
- At least 3 years of experience building user-facing applications with React, Vue, Solid, or Angular, including responsive, accessible, API-integrated interfaces.
- Hands-on experience integrating AI/ML capabilities into production systems using AI SDKs, orchestration frameworks, and agentic architectures.
- Experience with prompt engineering, model selection, context management, RAG, embeddings-based retrieval, AI agents, multi-agent workflows, and conversational interfaces.
- Experience with AI testing, evaluation, observability, reliability, fallback strategies, safety guardrails, latency optimization, and rate-limit management.
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline with 5 years of relevant experience, or a similar master’s degree with 3 years of relevant experience.
Nice to have
- Ability to explain complex AI concepts to non-technical stakeholders and collaborate with product managers, designers, clinicians, and compliance specialists.
- Experience in regulated or high-accountability environments such as healthcare, finance, or government.
- Experience in healthcare industries.
Culture & Benefits
- Hybrid work with occasional work from home to support focused work and work-life balance.
- Work from a dedicated space without ongoing interruptions to protect member PHI and HIPAA information.
- Home and hybrid employees must have internet service with at least 25 Mbps download and 10 Mbps upload speeds.
- Medical, dental, and vision benefits, 401(k), paid time off, holidays, volunteer time off, parental and caregiver leave, disability coverage, and life insurance.
- Telephone equipment is provided to home and hybrid employees as needed for business requirements.
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