Staff Engineer - Applied AI

Location: Bethesda, Maryland, United States

Annual salary: $110,000–$230,000

Company

hirify.global is a large United States auto insurer and a member of the Berkshire Hathaway family of companies, serving millions of customers nationwide.

What you will do

• Identify opportunities to automate enterprise business processes with AI, intelligent workflows, and agent-based systems.
• Architect, build, and deploy applied AI solutions for workflow automation, document intelligence, decision support, and intelligent assistants.
• Design AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic.
• Build scalable, resilient, secure, high-performance systems and services for production environments.
• Use vector search and knowledge graphs to improve reasoning, entity relationships, context retrieval, and multi-step workflows.
• Collaborate with engineering, product, operations, analytics, and domain teams while mentoring engineers and scientists in AI and agent-based development.

Requirements

• 8+ years of professional software engineering or applied machine learning experience, including 2+ years with Generative AI or LLM-based systems in production.
• Experience improving internal workflows, automation, decision-making, system reliability, scalability, and performance.
• Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
• Experience building scalable, resilient, secure, maintainable production systems and distributed services.
• Ability to collaborate across teams, translate business needs into technical designs, and deliver measurable AI outcomes.
• hirify.global will not sponsor a new applicant for employment authorization for this position.

Nice to have

• Experience with domain-tuned LLMs, vector reasoning, specialized retrieval architectures, document intelligence, fraud or anomaly modeling, or ontology and knowledge graph design.
• Experience in insurance, financial services, or other regulated industries.
• Experience deploying AI components in Java ecosystems, including Spring AI, LangChain4j, or Embabel.
• Familiarity with AI safety, evaluation frameworks, monitoring, and regulatory compliance.
• Ability to communicate complex technical topics to senior leadership and non-technical stakeholders.

Culture & Benefits

• Work on AI-powered enterprise workflows and intelligent automation at large operational scale.
• Collaborative engineering environment focused on advancing AI capabilities and responsible production deployment.
• Personalized development programs, mentorship, and certification assistance.
• Competitive pay, benefits, and flexibility supporting employee well-being.
• Inclusive culture rooted in shared success, innovation, and integrity.