Hayley Killengrey

AI Knowledge Graph Lead Remote (USA) up to $220,000 baseWe’re partnering with an AI-driven technology company looking to hire an AI Knowledge Graph/ Ontology Lead to build and scale the knowledge graph layer underpinning a new generation of intelligent enterprise products. This is a senior, hands-on leadership role for someone who has real experience designing and shipping production knowledge graphs, not just conceptual ontology work. You’ll be responsible for shaping a graph and ontology platform that powers: • AI retrieval and RAG workflows • Entity linkage and reasoning systems • Cross-domain and temporal knowledge modeling • Regulatory and compliance intelligence products • Agentic AI applications The role combines architecture, hands-on engineering, and team leadership. You’ll work closely with AI/ML engineers to turn complex, unstructured information into structured, queryable intelligence that directly feeds live AI systems. Key experience includes: • Strong Neo4j and Cypher expertise in production environments • Deep ontology / taxonomy modeling experience • Python engineering skills • Knowledge graph integration with LLMs, RAG, or vector search systems • Experience balancing formal semantics with pragmatic implementation • Ability to lead technically while remaining hands-on Additional experience in areas such as RDF/OWL, inference engines, entity resolution, legal/regulatory data, ESG, healthcare, or pharmaceutical domains would be highly valuable. The company offers: • A highly technical AI environment • Significant ownership and architectural influence • Fast decision-making and direct access to leadership • Strong adoption of AI-assisted development tooling • Flexible working arrangements and competitive compensation Ideal for someone excited by the challenge of building the intelligence layer behind complex AI products at scale. Please apply for more details

Senior Data Engineer – HealthTech AI $150,000–$200,000 Equity | Fully Remote (U.S.) | Full-Time DeepRec.ai is partnering with a fast-growing Series B HealthTech AI company to hire multiple Senior Data Engineers. You’ll join a 35 person Data Engineering team building AI-powered clinical products used by major U.S. healthcare organisations. This is a hands-on role focused on building scalable data pipelines that directly support real-world patient care.What You’ll DoBuild and maintain production data pipelinesDevelop data workflows primarily in PythonEnsure high data quality and reliabilityWork with large-scale cloud data platformsContribute to reusable tooling and frameworksRequirements4 years in Data EngineeringStrong Python skills (core requirement)Strong SQL experienceExperience with Databricks, Snowflake, or Microsoft FabricAzure cloud experienceExperience with distributed data processingNice to HaveHealthcare or EHR data experienceLakehouse or real-time pipeline exposureSaaS / multi-tenant platform experienceTech Stack: Python • SQL • Databricks • Snowflake • Fabric • PySpark • Azure Data Factory • CI/CDWhy Join?High-growth HealthTech AI company with strong fundingReal ownership in small, collaborative teamsClear progression to Staff / Director levelCompetitive salary, equity, and strong benefitsMeaningful work with real healthcare impact Please note: This is a permanent opportunity only — no C2C or contract engagements.