Unknown Company
Remote • Posted Yesterday
Remote Full Time IT & Technology

Summary
Join a rapidly growing AI team as an AI Engineer, playing a pivotal role in building and deploying cutting-edge generative AI systems. Collaborate with a talented team to develop agentic solutions leveraging the latest LLM and GenAI technologies. Contribute to transforming AI capabilities into scalable, production-ready enterprise applications, and participate in shaping the technical roadmap of innovative AI initiatives.

Pay - $80-85 hr/w-2
Location
100% Remote
Summary
Join a rapidly growing AI team as an AI Engineer, playing a pivotal role in building and deploying cutting-edge generative AI systems. Collaborate with a talented team to develop agentic solutions leveraging the latest LLM and GenAI technologies. Contribute to transforming AI capabilities into scalable, production-ready enterprise applications, and participate in shaping the technical roadmap of innovative AI initiatives.
Requirements

  • Proven experience with LLM frameworks (e.g., LangChain, Bedrock Data)
  • Strong knowledge of prompt engineering, fine-tuning, and generative model evaluation
  • Familiarity with AI or data automation workflows using Python
  • Understanding of RAG architecture, embeddings, and vector databases
  • Experience with Git, CI/CD pipelines, Docker, Kubernetes, and cloud-native deployment
  • Knowledge of AI observability, model monitoring, and cost optimization
  • Excellent communication skills and ability to collaborate across technical and non-technical teams
Responsibilities
  • Design, develop, and deploy agentic AI systems integrating LLMs and GenAI models
  • Collaborate with AI Engineers to create scalable AI solutions for enterprise applications
  • Integrate generative AI models into full-stack applications and workflows
  • Execute prompt engineering, model fine-tuning, and evaluate generative outputs
  • Build reusable components for multi-agent orchestration and automation
  • Optimize inference pipelines for scalability, latency, and cost-efficiency
  • Participate in architectural discussions and contribute to the technical roadmap
  • Support AI observability and model monitoring practices
Benefits
  • Be part of a growing AI team with plans to expand, currently adding two engineers
  • Opportunity to work on innovative AI projects within a dedicated AI committee that prioritizes initiatives
  • Fully remote work environment, offering flexibility

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AI Engineer in Remote at Unknown Company

This position is listed as full time and able to be worked remotely.

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