{"schemaVersion":"jobsearcher.job.v1","id":"ea6d40bfdf1d9f592bbcc5df","url":"https://jobsearcher.com/jobs/ea6d40bfdf1d9f592bbcc5df","canonicalUrl":"https://jobsearcher.com/jobs/ea6d40bfdf1d9f592bbcc5df","title":"AI Engineer","description":"About DatifactDatifact is The GenBI Company. Datifact builds the data, ontology and context layers that make enterprise AI work for mid-market companies (50 to 500 employees, $10M to $250M in revenue), then delivers applications on top of them through QubeAI™, its AI-native operating system for the business.Most companies trying AI hit the same wall: their data is scattered, undefined and disconnected from how the business actually runs. Datifact solves that problem at the foundation. The platform is organized in four layers (Data, Ontology, Context, Application), and the engineer in this role will shape every one of them.Datifact is headquartered in Orange County, California, with a presence in Nashville, Tennessee.The RoleDatifact is hiring an AI Engineer to design and build the data architecture, ontologies and LLM systems behind every client deployment. This role reports directly to the Chief Technology Officer and is one of the first engineering hires on the team.This is a builder's seat. The work spans modeling a client's business as a semantic layer, wiring real systems into a clean data foundation, and shipping LLM agents that reason over that context in production. Architecture decisions made in this role will become the blueprint Datifact repeats across every new account.Title: AI EngineerReports to: Chief Technology OfficerType: Full time, salariedLocation: Orange County, CA or Nashville, TN preferred; remote considered for the right candidateWhat You Will DoData architectureDesign and build client data foundations: ingestion pipelines, warehouse and lakehouse models, and integrations with ERP, CRM, accounting and operational systems (QuickBooks Online, Salesforce, Snowflake and similar)Own data modeling standards, schema design and data quality across multi-tenant environmentsBuild ingestion for unstructured sources (documents, contracts, email, call notes) and turn them into structured, queryable contextMake security, tenant isolation and access control first-class parts of every architectureOntology and semantic layerModel how a business actually works: entities, relationships, metrics, rules and processes, expressed as an ontology an AI system can reason overBuild and maintain reusable domain packs (Finance and Operations, Procurement, Sales, Customer Success) and industry overlays that accelerate every new deploymentDefine a governed semantic layer so every metric means one thing, everywhere, for every user and agentWork directly with client finance and operations leaders to translate how they run the business into modelsLLM and agent developmentBuild production LLM applications and agents that retrieve, reason and act over client data and contextDesign retrieval systems (vector, graph and hybrid), prompt and context strategies, and tool-calling workflowsBuild evaluation harnesses that measure accuracy, grounding and reliability, and use them to drive every releaseOptimize for cost, latency and quality across frontier and small language modelsShip to production and own what ships: monitoring, observability and iteration based on real usageTeam and platformPartner with the CTO on platform architecture and technical roadmapWork alongside solutions engineering and client delivery on discovery, builds and managed servicesDocument patterns so the team can repeat them, and help shape engineering culture as Datifact growsWhat You Bring5+ years in data engineering, data architecture or ML engineering, with at least 2 years building LLM applications in productionDeep experience designing data models and pipelines in modern platforms (Snowflake, Databricks, BigQuery, Postgres or similar) and strong SQLHands-on ontology or semantic modeling experience: knowledge graphs, semantic layers, metrics layers or formal domain models (RDF/OWL, property graphs, dbt Semantic Layer, Cube or comparable)Proven work with LLM APIs and frameworks, retrieval-augmented generation, embeddings, vector databases and agent tool callingStrong Python; TypeScript a plusExperience building evaluations for LLM systems and using them to make decisionsCloud experience (Azure, AWS or GCP), including security, identity and multi-tenant designThe judgment to choose the simple solution that ships over the clever one that does notClear communication with non-technical executives; comfortable in a room with a CFOStartup ownership: you take a problem from blank page to production without waiting for a specNice to HaveBackground in finance, operations or business intelligence data (GL, AP/AR, inventory, sales pipeline)Experience fine-tuning or deploying small language modelsGraph databases (Neo4j, Neptune) or graph-based retrievalSupabase, pgvector or similar Postgres-native AI toolingVoice or multimodal agent experiencePrior work in consulting, professional services or client-facing deliveryOpen source contributions or published work on semantic modeling, RAG or agent systemsCompensation and BenefitsBase salary starts at $175,000 per year, based on experience and location.Full benefits, with medical coverage 100% paid by Datifact for employeesFlexible time offMonthly phone and internet stipendDirect access to the CTO and a real voice in platform directionWork on hard, high-impact problems at the foundation of enterprise AILocationOnsite in the Orange County, California or Nashville, Tennessee area is preferred. Remote work is open for the right candidate, with occasional travel to client sites and team sessions.","company":"Datifact","rawCompany":"datifact","city":"Bakersfield","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-10-28T03:28:37.886Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"About DatifactDatifact is The GenBI Company. Datifact builds the data, ontology and context layers that make enterprise AI work for mid-market companies (50 to 500 employees, $10M to $250M in revenue), then delivers applications on top of them through QubeAI™, its AI-native operating system for the business.Most companies trying AI hit the same wall: their data is scattered, undefined and disconnected from how the business actually runs. Datifact solves that problem at the foundation. The platform is organized in four layers (Data, Ontology, Context, Application), and the engineer in this role will shape every one of them.Datifact is headquartered in Orange County, California, with a presence in Nashville, Tennessee.The RoleDatifact is hiring an AI Engineer to design and build the data architecture, ontologies and LLM systems behind every client deployment. This role reports directly to the Chief Technology Officer and is one of the first engineering hires on the team.This is a builder's seat. The work spans modeling a client's business as a semantic layer, wiring real systems into a clean data foundation, and shipping LLM agents that reason over that context in production. Architecture decisions made in this role will become the blueprint Datifact repeats across every new account.Title: AI EngineerReports to: Chief Technology OfficerType: Full time, salariedLocation: Orange County, CA or Nashville, TN preferred; remote considered for the right candidateWhat You Will DoData architectureDesign and build client data foundations: ingestion pipelines, warehouse and lakehouse models, and integrations with ERP, CRM, accounting and operational systems (QuickBooks Online, Salesforce, Snowflake and similar)Own data modeling standards, schema design and data quality across multi-tenant environmentsBuild ingestion for unstructured sources (documents, contracts, email, call notes) and turn them into structured, queryable contextMake security, tenant isolation and access control first-class parts of every architectureOntology and semantic layerModel how a business actually works: entities, relationships, metrics, rules and processes, expressed as an ontology an AI system can reason overBuild and maintain reusable domain packs (Finance and Operations, Procurement, Sales, Customer Success) and industry overlays that accelerate every new deploymentDefine a governed semantic layer so every metric means one thing, everywhere, for every user and agentWork directly with client finance and operations leaders to translate how they run the business into modelsLLM and agent developmentBuild production LLM applications and agents that retrieve, reason and act over client data and contextDesign retrieval systems (vector, graph and hybrid), prompt and context strategies, and tool-calling workflowsBuild evaluation harnesses that measure accuracy, grounding and reliability, and use them to drive every releaseOptimize for cost, latency and quality across frontier and small language modelsShip to production and own what ships: monitoring, observability and iteration based on real usageTeam and platformPartner with the CTO on platform architecture and technical roadmapWork alongside solutions engineering and client delivery on discovery, builds and managed servicesDocument patterns so the team can repeat them, and help shape engineering culture as Datifact growsWhat You Bring5+ years in data engineering, data architecture or ML engineering, with at least 2 years building LLM applications in productionDeep experience designing data models and pipelines in modern platforms (Snowflake, Databricks, BigQuery, Postgres or similar) and strong SQLHands-on ontology or semantic modeling experience: knowledge graphs, semantic layers, metrics layers or formal domain models (RDF/OWL, property graphs, dbt Semantic Layer, Cube or comparable)Proven work with LLM APIs and frameworks, retrieval-augmented generation, embeddings, vector databases and agent tool callingStrong Python; TypeScript a plusExperience building evaluations for LLM systems and using them to make decisionsCloud experience (Azure, AWS or GCP), including security, identity and multi-tenant designThe judgment to choose the simple solution that ships over the clever one that does notClear communication with non-technical executives; comfortable in a room with a CFOStartup ownership: you take a problem from blank page to production without waiting for a specNice to HaveBackground in finance, operations or business intelligence data (GL, AP/AR, inventory, sales pipeline)Experience fine-tuning or deploying small language modelsGraph databases (Neo4j, Neptune) or graph-based retrievalSupabase, pgvector or similar Postgres-native AI toolingVoice or multimodal agent experiencePrior work in consulting, professional services or client-facing deliveryOpen source contributions or published work on semantic modeling, RAG or agent systemsCompensation and BenefitsBase salary starts at $175,000 per year, based on experience and location.Full benefits, with medical coverage 100% paid by Datifact for employeesFlexible time offMonthly phone and internet stipendDirect access to the CTO and a real voice in platform directionWork on hard, high-impact problems at the foundation of enterprise AILocationOnsite in the Orange County, California or Nashville, Tennessee area is preferred. Remote work is open for the right candidate, with occasional travel to client sites and team sessions.","datePosted":"2026-10-28T03:28:37.886Z","dateModified":"2026-10-28T03:28:37.886Z","hiringOrganization":{"@type":"Organization","name":"Datifact","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bakersfield","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea6d40bfdf1d9f592bbcc5df"},"url":"https://jobsearcher.com/jobs/ea6d40bfdf1d9f592bbcc5df"}}