11 часов назад
Senior Engineer - Applied AI
100 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer - Applied AI (Generative AI/LLMs): Building and deploying production AI solutions, agentic workflows, intelligent automation, and customer communication experiences with an accent on scalability, resilience, knowledge graphs, and retrieval-augmented generation. Focus on designing AI agents that orchestrate tools, APIs, reasoning steps, and business logic, while evaluating, monitoring, and operating reliable and secure systems in production.
Location: Bethesda, MD, United States
Annual salary: $100,000–$215,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies, serving millions of customers through insurance products and services.
What you will do
- Identify and prioritize business processes suitable for AI automation, intelligent workflows, and agent-based systems.
- Architect, build, deploy, and operate production AI solutions for automation, document intelligence, decision support, and intelligent assistants.
- Design agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic at scale.
- Develop foundational voice, chat, text, email, and contact center experiences for sales, service, and claims operations.
- Use knowledge graphs to improve reasoning, entity relationships, context retrieval, and multi-step workflows.
- Partner with product, engineering, operations, and analytics teams; mentor engineers and scientists; and influence architecture and engineering practices.
Requirements
- 4+ years of professional software engineering or applied machine learning experience, including 1+ year with Generative AI or LLM-based systems in production.
- Strong Python experience and hands-on knowledge of LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
- Experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation.
- Understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
- Strong distributed systems, service design, performance optimization, reliability, security, and maintainability skills.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
Nice to have
- Experience with domain-tuned LLMs, vector reasoning, specialized retrieval architectures, or complex ontology design.
- Experience in insurance, financial services, or other regulated industries.
- Experience deploying AI components in Java ecosystems, including Spring AI, LangChain4j, or Embabel.
- Knowledge of AI safety, evaluation, monitoring, governance, and regulatory compliance.
- Experience communicating complex technical topics to senior leadership and non-technical stakeholders.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
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