P
AI Summary
Join a rapidly growing AI team as an AI Engineer, 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.
Key Highlights
Design, develop, and deploy agentic AI systems
Collaborate with AI Engineers to create scalable AI solutions
Integrate generative AI models into full-stack applications and workflows
Key Responsibilities
Design, develop, and deploy agentic AI systems
Collaborate with AI Engineers to create scalable AI solutions
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
Technical Skills Required
Benefits & Perks
Part of a growing AI team with plans to expand
Opportunity to work on innovative AI projects
Fully remote work environment
Job Description
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
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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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