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Remote flexibility and a 3–6 year experience band increase applicants, but niche AI platform skills moderate density.
Specialized AI platform, knowledge-representation, and high-accountability domain requirements make cross-industry transfers difficult.
Mandatory five-year minimum plus specific platform, RAG, retrieval, and knowledge-representation skills enforce strict shortlisting.
Own design and build of knowledge representation and platform services for ingestion, curation, retrieval, and versioning of domain-specific knowledge within Esko’s AI platform.
Define and implement integration of semantic retrieval, deterministic validation, and human review to handle applicability, uncertainty, conflicts, and escalation.
Ensure platform services meet requirements for security, tenant isolation, reliability, observability, performance, and support consuming AI product teams.
5+ years of software engineering experience with ownership of platform, API, or shared service products.
Proficiency in Python, TypeScript, Java, or similar languages for designing, building, and operating production systems.
Experience building knowledge, retrieval, or rule systems including use of formalisms like schemas, rules engines or graphs.
Undergraduate or higher degree in Computer Science, Machine Learning, AI, Data Science, or related discipline.
Technical leader skilled at operating between core platform teams and multiple domain engineering teams to balance shared objectives with team-specific needs.
Experienced in knowledge representation and reasoning systems that support multiple constraints and real-world ambiguity.
Strong in evaluating system effectiveness with measurable results, clear documentation of tradeoffs, and managing tenant isolation in multi-tenant environments.