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Remote flexibility, metro Bengaluru location, and mid-level seniority increase applicant competition.
Highly specialized knowledge and reasoning, RAG and semantic tooling needs limit cross-industry transferability.
Explicit five-year requirement plus domain-specific knowledge and RAG/validation experience raise shortlisting strictness.
Own design and implementation of Esko's AI platform knowledge and reasoning capabilities, including knowledge representation, ingestion, retrieval, and versioning.
Develop and operate APIs and tools enabling AI agents and validators to apply and explain contextual knowledge with strict tenant isolation and reliability.
Collaborate with domain experts and product teams to transform expert knowledge into structured, testable, and versioned knowledge bases ensuring regulatory and customer-specific compliance.
Minimum 5 years software engineering experience, preferably with platform or shared-services ownership.
Proficient in Python, TypeScript, Java, or similar languages used for production systems.
Experience building knowledge, retrieval, or rule-based systems with judgment in formalism selection (schemas, rules engines, graphs, etc.).
Undergraduate or higher degree in Computer Science, Machine Learning, Data Science, AI, or related field.
Experienced in building multi-tenant, secure, high-availability SaaS platforms integrating complex domain knowledge.
Skilled in balancing platform-level objectives with needs of multiple domain engineering teams in regulated or high-accountability environments (e.g., pharmaceutical, legal tech).
Strong understanding of semantic, symbolic tooling (RDF/OWL, SHACL, Datalog, etc.) and practical knowledge reasoning challenges including handling ambiguity, conflicts, and escalation.