✦ Luna Orbit — AI & Machine Learning

AI Software Engineer

at Nvidia

📍 2 Locations Unknown Posted April 05, 2026
Type Full-Time
Experience senior
Exp. Years 8+ years
Education BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
Category AI & Machine Learning

AI Software Engineer at Nvidia focused on generative AI, LLM/RAG-based workflows, data ingestion, and localization tooling; develops scalable AI-powered customer support tools with production-grade pipelines.

  • Build AI-powered tools for workflow efficiency
  • Ingest and unify data from multiple sources
  • Develop LLM/RAG-based solutions for natural language queries
  • Build automated reporting and metrics
  • Provide technical leadership for AI systems

Stack emphasizes Python with LLM/RAG-based architectures, data pipelines, embeddings/semantic search, and production-grade APIs; collaboration across AI research, ML engineering, and product teams.

The ideal candidate is an senior AI/ML engineer with 8+ years in ML/NLP, deep expertise in LLMs and RAG workflows, strong Python skills, and a track record of building production-grade AI systems and data pipelines.

BS or MS in Computer ScienceArtificial Intelligenceor equivalent experience8+ years of experience in Machine LearningNatural Language Processingor related AI domainsDeep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflowsStrong programming skills with extensive experience in PythonExperience building production-grade AI systemsAPIsor data pipelinesExperience working with largecomplex datasets and building analytical or reporting systemsStrong problem-solving skillsperformance analysis experienceand debugging expertiseSolid foundation in algorithms and mathematical principlesExperience with source control tools such as Git or PerforceAbility to work independently and collaboratively across teams
Experience building analytics platforms or internal tools for data explorationExperience applying AI to customer supportbug trackingor large-scale feedback systemsFamiliarity with knowledge retrieval systemsembeddingsand semantic searchExperience with real-time or near-real-time data processing pipelinesBackground in localizationtranslation systemsor multilingual AI workflows
GitPerforcePython
BS/MS in CS or AI8+ years ML/NLPLLMs and RAG workflowsPythonproduction AI systemsAPIsdata pipelineslarge datasetsembeddingssemantic searchGitPerforce
PythonLarge Language Models (LLMs)RAG-based workflowsembeddingssemantic searchdata pipelinesAPIsproduction-grade AI systemsNLPmachine learningknowledge retrievalGitPerforce
leadershipcollaborationproblem-solvingcommunicationindependence
Industry Technology
Job Function Design and deploy AI-driven tools and systems for customer support and data analysis using LLMs and RAG-based pipelines
Role Subtype AI Engineer
Tech Domains Python, Java, SQL / PostgreSQL, Tableau, Power BI
AI EngineerGenerative AILarge Language ModelsLLMsRAG-basedembeddingssemantic searchPythondata pipelinesAPIsproduction-grade AI systemsNLPmachine learningknowledge retrievallocalization workflowscustomer supportdrone inspectionsnuclearreal-time data processingGitPerforce

Lack of 8+ years ML/NLP experience, No hands-on experience with LLMs/RAG or embeddings, No production-grade AI systems experience, Lack of Python or data pipeline experience

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile