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Remote role and recognizable employer increase applicant pool despite senior, niche specialization.
Requires deep backend and AI content-processing expertise, limiting transferability across unrelated industries.
Explicit 14+ year requirement and mandatory backend expertise make filters highly strict.
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Lead research and development of AI-driven solutions to process and extract insights from millions of unstructured documents and multimedia daily.
Architect and build scalable, cost-effective backend AI services and data pipelines with focus on reliability and throughput.
Mentor engineering teams and drive critical initiatives for state-of-the-art document ingestion, classification, and entity extraction technologies.
14+ years of professional software engineering experience building complex, data-intensive backend systems.
8+ years expertise with modern backend frameworks like FastAPI, Django, Spring Boot.
Proven mastery designing large-scale distributed systems with asynchronous patterns, streaming/queuing/caching, and observability (logging, metrics, tracing).
Exceptional communication and leadership skills to influence cross-team engineering direction without direct authority.
Experienced in solving massive-scale data and AI production challenges beyond theory including LLM latency management and prompt engineering.
Strategic thinker capable of founding and scaling a center of excellence in content-focused AI engineering.
Strong operational focus on building fault-tolerant, high-reliability backend systems to support AI-driven market intelligence products.