13 часов назад
Senior Staff Engineer, Applied AI
130 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Engineer, Applied AI (Generative AI/LLM): Architecting and delivering production-grade AI capabilities, including agent-based systems, RAG, intelligent automation, and decision-support systems, with an accent on scalability, resilience, security, and responsible deployment. Focus on designing multi-agent workflows, integrating vector search and knowledge graphs, running production experimentation, and influencing architecture across multiple teams.
Location: Bethesda, Maryland, United States. Flex allows working from anywhere in the US for up to four weeks per year.
Annual salary: $130,000–$260,000.
Company
provides insurance coverage to millions of customers and develops technology to improve customer and associate experiences.
What you will do
- Define architectures and lead implementation of complex, cross-functional AI and ML capabilities.
- Build generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision-support systems.
- Design agentic workflows coordinating AI agents, tools, APIs, reasoning steps, and business logic.
- Advance RAG, vector reasoning, knowledge graph, and multi-agent solutions for complex business problems.
- Set engineering standards for scalability, reliability, security, compliance, monitoring, interpretability, and responsible AI.
- Influence technical strategy across teams, collaborate with senior leaders, and mentor engineers developing AI and technical leadership skills.
Requirements
- 8+ years of professional software engineering or applied machine learning experience, including 2+ years with generative AI or LLM systems in production.
- Hands-on expertise with Python, LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI or Anthropic APIs, and agentic frameworks.
- Experience building production RAG systems with document ingestion, chunking, vector search, and context retrieval.
- Experience designing and operating production AI systems, multi-agent architectures, and workflow orchestration.
- Strong knowledge of distributed systems, microservices, service design, performance optimization, and reliability engineering.
- Ability to influence multiple teams, translate business needs into technical solutions, and mentor engineers.
Nice to have
- Experience with domain-tuned LLMs, specialized retrieval, prompt optimization, knowledge graphs, or graph-based reasoning.
- Background in insurance, financial services, compliance, or risk management.
- Experience with Java AI ecosystems, MLOps, AI safety, evaluation, monitoring, or observability.
- Open-source contributions, technical blogging, or community participation.
Culture & Benefits
- Work on AI capabilities affecting millions of customers and thousands of associates.
- Training, certification assistance, career mentorship, and coaching.
- Comprehensive total rewards, healthcare coverage, mental healthcare, and fertility and adoption assistance.
- 401(k) plan with a 6% match vested from day one, performance incentives, and tuition assistance.
- Workplace flexibility and a US-based Flex program.
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