2 months ago
Jičín, CzechiaSenior
Responsibilities
- Design knowledge representations for constraints, transformations, procedures, and guidelines usable by AI agents, deterministic validators, and human curators.
- Build and operate platform services for knowledge ingestion, curation, retrieval, versioning, contextual scoping, and tenant isolation.
- Define how semantic retrieval, deterministic validation, and human review handle applicability, uncertainty, conflicting evidence, and escalation.
- Design and implement reusable APIs and tools for applying, validating, and explaining contextual knowledge.
- Build evaluation suites for retrieval quality, applicability, conflict handling, ambiguity handling, and explanation quality.
- Own substantial technical areas end to end, including security, reliability, observability, performance, compatibility, and tenant isolation.
- Collaborate with domain experts and product engineering teams to convert informal expertise into structured, testable knowledge with provenance, citations, and release practices.
Requirements
- At least 5 years of software engineering experience, preferably including ownership of a platform, API, or shared-services product used across multiple internal teams.
- Strong experience designing, building, and operating production systems in Python, TypeScript, Java, or a similar language.
- Experience building knowledge, retrieval, or rule systems and selecting appropriate formalisms such as schemas, decision tables, rules engines, graphs, or retrieval.
- Practical experience with RAG, information extraction, and structured validation using JSON Schema, Pydantic, or equivalent.
- Sound judgment regarding applicability, exceptions, missing evidence, ambiguity, system refusal, and human review.
- Experience constructing evaluation datasets and clearly documenting modeling decisions, tradeoffs, and failure modes.
- Undergraduate, Master’s degree, or PhD in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or a related discipline.
- Ability to work across a platform team and consuming domain engineering teams while balancing shared and team-specific priorities.
- Excellent written and verbal communication with technical and business stakeholders.
- Preferred experience with RDF/OWL, SHACL, Datalog, DMN, production rule engines, policy-as-code, agentic systems with tool calling, validation-before-action, multi-tenant SaaS, strict isolation, audit requirements, pharmaceutical or food labeling, legal technology, packaging graphics, or the graphic arts industry.
Benefits
- Hybrid work in Prague, Czech Republic, with remote flexibility.
- Opportunity to join an experienced, established engineering hub in Prague.
- Opportunity to shape and grow the MLOps function as the internal expert.
- International collaboration across multiple product teams.
- Career growth, rewards, recognition, and a culture of continuous improvement at Esko and Veralto.
Tech Stack
Categories
About Veralto
Veralto builds water analytics, treatment, and compliance solutions and product identification and color management systems for industrial, consumer goods, pharmaceutical, and municipal customers. Formed in 2023 as a spin‑off from Danaher, it operates brands including Hach, ChemTreat, Trojan Technologies, Videojet, Esko, X‑Rite, and Pantone. Veralto is headquartered in Waltham, Massachusetts, and is a publicly traded company on the NYSE under the ticker VLTO.