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AI Engineer [REMOTE] - Remote

L6

datifactDenver, COyesterday

Occupations

Data Warehousing SpecialistsComputer Systems Engineers/ArchitectsData Scientists

Industries

Custom Computer Programming ServicesComputer Systems Design ServicesSoftware Publishers
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 QubeAITM, 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.
The Role: Datifact is hiring an AI Engineer to design and build the data architecture, ontologies and LLM systems behind every client deployment. 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 Engineer
Type: Full time, salariedremote considered for the right candidate
What You Will Do:
  • Data architecture
  • Design 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 environments
  • Build ingestion for unstructured sources (documents, contracts, email, call notes) and turn them into structured, queryable context
  • Make security, tenant isolation and access control first-class parts of every architecture
  • Model how a business actually works: entities, relationships, metrics, rules and processes, expressed as an ontology an AI system can reason over
  • Build and maintain reusable domain packs (Finance and Operations, Procurement, Sales, Customer Success) and industry overlays that accelerate every new deployment
  • Work directly with client finance and operations leaders to translate how they run the business into models
  • Build production LLM applications and agents that retrieve, reason and act over client data and context
  • Optimize for cost, latency and quality across frontier and small language models
  • Ship to production and own what ships: monitoring, observability and iteration based on real usage
  • Team and platform
  • Partner with the CTO on platform architecture and technical roadmap
  • Work alongside solutions engineering and client delivery on discovery, builds and managed services
Document patterns so the team can repeat them, and help shape engineering culture as Datifact grows 5+ years in data engineering, data architecture or ML engineering, with at least 2 years building LLM applications in production~ Deep experience designing data models and pipelines in modern platforms (Snowflake, Databricks, BigQuery, Postgres or similar) and strong SQL~ Proven work with LLM APIs and frameworks, retrieval-augmented generation, embeddings, vector databases and agent tool calling~ Strong Python; TypeScript a plus~ Experience building evaluations for LLM systems and using them to make decisions~ Cloud experience (Azure, AWS or GCP), including security, identity and multi-tenant design~ The judgment to choose the simple solution that ships over the clever one that does not~ Background in finance, operations or business intelligence data (GL, AP/AR, inventory, sales pipeline) Experience fine-tuning or deploying small language models Graph databases (Neo4j, Neptune) or graph-based retrieval Supabase, pgvector or similar Postgres-native AI tooling Full benefits, with medical coverage 100% paid by Datifact for employees Flexible time off Monthly phone and internet stipend Direct access to the CTO and a real voice in platform direction Work on hard, high-impact problems at the foundation of enterprise AIRemote work is open for the right candidate, with occasional travel to client sites and team sessions.
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Level

LeadL6

Location

Denver, CO

Occupation

Data Warehousing Specialists

Industry

Custom Computer Programming Services

Posted

yesterday

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