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Enterprise Knowledge, LLC
Enterprise Knowledge, LLC
51 – 200 Darbinieki
KonsultācijasMākslīgais intelektsUzņēmums
Enterprise Knowledge, LLC is a consulting firm focused on knowledge management and semantic layers. It helps complex organizations connect content, data, and AI initiatives through services including knowledge management strategy, taxonomy and ontology development, enterprise search, knowledge graphs, data modeling, content operations, and data management. The firm also supports AI readiness and implements semantic layers and unified entitlements, helping make organizational knowledge easier for people and systems to find, interpret, and use.
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Vakances uzņēmumā

Full Stack AI Developer at Enterprise Knowledge, Arlington (Hybrid)

Build RAG applications, agentic AI systems, and data integrations at Enterprise Knowledge. Develop Python services, modern web interfaces, and semantic search solutions.

USAmerikas Savienotās ValstisVAVirdžīnija
95 000 $ – 115 000 $ / gads
HibrīdiPilna slodzeJaunākais speciālistsVidējais līmenisNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
AWSAzureDockerGoogle Cloud PlatformJavaJavaScriptMikropakalpojumiPythonReactSDLCSQLTypeScriptVue.js

Apraksts

  • Build and maintain scalable Python microservices and user-friendly React or Vue interfaces for AI applications.
  • Help deliver agentic AI systems using orchestration, tools, and memory or retrieval components.
  • Create and run complete RAG workflows, from retrieval architecture and embeddings to response evaluation.
  • Develop and improve SQL and Python pipelines to ingest and enrich structured and unstructured data.
  • Connect AI components with semantic layers and knowledge graphs.
  • Build middleware for loosely coupled systems, including automated content tagging and integrated search.
  • Work with data experts and business users to understand their subject areas.
  • Explain technical findings to stakeholders without technical backgrounds.

Prasības

  • Live within a reasonable commuting distance of the Arlington, Virginia office.
  • Be willing to work on-site three days per week.
  • Hold a bachelor's degree in computer science, data science, mathematics, or a related technical field.
  • Have 2–5 years of professional software development experience across backend and frontend technologies.
  • Have demonstrated experience building and improving RAG pipelines, including embeddings, reranking, and evaluation.
  • Have applied NLP techniques to unstructured data.
  • Be proficient in Python or Java for backend development.
  • Have experience with modern JavaScript frameworks, such as React, and TypeScript.
  • Be familiar with data modeling, database architecture, and SQL.
  • Have experience using Git.
  • Have delivered solutions through Agile practices.
  • Use generative AI tools throughout the software development life cycle, including for architecture decision records, code drafts, test cases, and product documentation.
  • Be able to lead meetings, give briefings, and present work directly to clients.
  • Enterprise Knowledge does not sponsor new applicants for employment authorization or provide immigration-related support for this role.
  • Preferred: hands-on experience with LangChain, LangGraph, LlamaIndex, or BAML.
  • Preferred: experience with RDF graph databases, SPARQL, or Linked Data technologies.
  • Preferred: experience with Docker and AWS, Azure, or Google Cloud Platform.
  • Preferred: experience monitoring AI components for latency, success rate, and retrieval quality.
  • Preferred: familiarity with ontology or taxonomy design, or management tools such as Progress Semaphore or PoolParty.

Priekšrocības

  • A collaborative workplace.
  • A commitment to equity and inclusion.
  • Company-specific benefits are mentioned, but the posting does not list them.

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