Software Engineer; HYBRID

Employer Industry: Insurance

Why consider this job opportunity:

• Salary up to $230,000
• Comprehensive Total Rewards program, including market-competitive compensation and a 401K savings plan with a 6% match
• Opportunity for career advancement and growth through personalized development programs and industry-leading training
• Flexible work options, including the ability to work remotely for up to four weeks per year
• Inclusive culture that values different perspectives and fosters employee engagement and recognition

• Architect and design enterprise-scale knowledge graph platforms to capture and model comprehensive insurance domain expertise
• Build automated semantic content generation systems for creating personalized insurance content at scale
• Develop intelligent content workflows and APIs utilizing graph traversal algorithms and natural language processing
• Implement semantic search and content discovery platforms that understand customer intent through graph-based query processing
• Lead cross-functional collaboration to translate business objectives into scalable knowledge-driven technical solutions

• Proven experience designing and implementing knowledge management platforms or AI-driven developer platforms
• 6+ years of professional software development experience building full-stack web applications or data platforms
• 4+ years of experience with system architecture and design, particularly in semantic data systems or AI-powered content platforms
• Bachelor's degree in Computer Science, Data Science, Computational Linguistics, or equivalent work experience
• Strong ability to architect distributed semantic systems and graph-based microservice architectures

• Experience with knowledge graphs, semantic technologies, or AI-driven content generation systems
• Familiarity with semantic web standards (RDF, OWL, SPARQL) and ontology design
• Product mindset with a passion for building intelligent tools that enhance user experiences
• Excellent collaboration and communication skills for explaining complex concepts to diverse stakeholders
• Experience with MLOps and real-time semantic data processing at scale

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