7 rag engineer jobs at 5 companies in Ault, CO

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
1mo
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AI Evaluation Engineer
Bucharest or Boulder or Boston or Chicago or Glendora or Richmond or London or Auckland
lei16k-lei19k/mo HybridFull Time
Yes Energy
Yes Energy: Provides real-time electric power market data and trading analytics.
5+ YOEBachelor's in CS/Data/Math, 5+ years software engineering with focus on testing/evaluation or AI/ML tooling, strong Python, experience building evaluation pipelines and LLM eval concepts, familiarity with RAG and production data pipelines.
RAGAS, LangSmith, PromptFlow, Snowflake, Python, RAG
2mo
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Forward Deployed Engineer III, Generative AI, Google Cloud
San Francisco or Atlanta or Boulder or Cambridge or Chicago or Addison or Detroit or Irvine or Kirkland or Los Angeles or Miami or Mountain View or New York or Portland or Reston or San Diego or Seattle or Sunnyvale or Washington D.C.
$174k-$252k/yr OnsiteFull Time
Google
GoogleNASDAQ: GOOGL: Provides online search, advertising, cloud computing, and consumer electronics.
5+ YOE5 years software development; AI systems on cloud; production-grade AI solutions; customer engagement; data pipelines with vector DB/RAG
Python, LangGraph, CrewAI, ADK, RAG, Vector Databases, LLM Metrics, Vertex AI, MCP servers
2w
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Senior AI Data Analytics Engineer
Fort Collins, Colorado, United States
$133k-$197k/yr OnsiteFull Time
BillGO: Digital bill payment network for businesses and consumers.
5+ YOE5+ years in analytics/data engineering; expert SQL, data modeling, Snowflake, ELT pipelines, Python, RAG/LLM production experience, data governance and metric layer ownership, strong communication and technical leadership.
Snowflake, Coalesce, Python, SQL, AWS RDS, AWS DynamoDB, AWS S3, Claude
2mo
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Senior AI Platform Engineer
Boulder or United States
$175k-$215k/yr HybridFull Time
Campminder
Campminder: Cloud-based management software for the summer camp industry.
Senior AI Platform Engineer to build AI enablement tools, collaborate with executives and product, and drive AI tooling and observability across Campminder.
RAG, prompt engineering, context engineering, LLM evals, Claude Code, Cursor, MCPs, custom agents, skills/plugins, agentic coding tools
1mo
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Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Vancouver or Boulder
$172k-$257k/yr HybridFull Time
Workday
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
3+ YOEMLE III: 3+ years; Senior MLE: 6+ years. Expertise in deep learning, NLP, information retrieval, recommender systems, Python, PyTorch/TensorFlow, MLOps (Docker/K8s), PySpark/SQL, LangChain/RAG, and production ML lifecycle. Advanced degree preferred.
PyTorch, TensorFlow, Python, LangChain, LangGraph, Kubeflow, PySpark, SQL, PEFT, DeepEval, RAGAS, Docker, K8s, AWS, GCP, DSPy
3w
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Practice Manager - AI & Data
Greensboro or Broomfield or Troy
$160k-$190k/yr OnsiteFull Time
ALTEN
ALTENEuronext Paris: ATE: Provides engineering and technology consulting services to industrial clients.
12+ YOE5+ Mgmt12–15 years in consulting/engineering/technology with 5+ years leading AI/Data teams; experience with generative AI, ML frameworks, data engineering, cloud AI services, MLOps; bachelor's in CS/Data/AI or related required.
LLMs, RAG, Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, Azure AI, AWS SageMaker, AWS Bedrock, Google Vertex AI, MLflow, Kubeflow, containerization, orchestration
3d
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Technical Deployment Lead, Google Cloud
Austin or Atlanta or Boulder or Chicago
$183k-$266k/yr OnsiteFull Time
Google
GoogleNASDAQ: GOOGL: Provides online search, advertising, cloud computing, and consumer electronics.
7+ YOEBachelor's or equivalent,7+ years in product/systems/engineering or technical leadership; experience designing end-to-end AI systems (RAG, vector DBs, API integrations), leading cross-functional teams, and driving enterprise technical deployments.
RAG, vector databases, API, vector search, A2A, MCP, LLM, Google Cloud