5 часов назад
Lead Software Engineer - AI
129 300 - 177 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Engineer - AI (LLMs/RAG): Designing and owning end-to-end AI systems for clinical tools, including LLM applications, RAG pipelines, agent-based workflows, and intelligent automation with an accent on model evaluation, responsible AI, and HIPAA compliance. Focus on building multi-agent systems, fine-tuning foundation models, and operating production AI platforms with scalable evaluation frameworks.
Location: Dallas, TX; the candidate must live close to a designated IT location in the United States, including New York, Louisville, Tampa, Fort Lauderdale, Dallas/Frisco, Boston, Washington, D.C., Atlanta, Nashville, Chicago, or Charlotte.
Salary: $129,300–$177,800 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services through and CenterWell.
What you will do
- Design and own the end-to-end architecture of AI systems, including LLM-powered clinical tools, RAG pipelines, agent workflows, and intelligent automation.
- Evaluate foundation models and guide fine-tuning when appropriate, prioritizing safety, accuracy, and clinical relevance.
- Build model evaluation frameworks, automated evaluation pipelines, benchmarks, and large-scale output quality assessment.
- Design and implement multi-agent systems with orchestration, tool use, and sandboxed execution environments.
- Partner with product managers, designers, clinicians, and data stakeholders to translate care workflows into AI features.
- Ensure AI systems comply with HIPAA and ’s Responsible AI standards, including applicable review processes.
Requirements
- 8+ years of software engineering experience, including 4+ years focused on production AI/ML systems.
- Hands-on experience building with large language models and orchestration frameworks such as LangChain or LlamaIndex.
- Strong proficiency in Python, TypeScript, and modern ML tooling such as Hugging Face or PyTorch.
- Production experience designing and deploying RAG pipelines and vector search systems.
- Experience with model fine-tuning, custom LLM and agent evaluation frameworks, and end-to-end ownership of complex AI systems.
- Understanding of HIPAA requirements and secure handling of protected health information, plus strong written and verbal communication skills.
Nice to have
- Experience in healthcare, clinical informatics, or another highly regulated industry.
- 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.
- 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, life insurance, and additional wellness benefits.
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