AI Engineer

Prestige Staffing; United States; Remote; USD 110,208 - 117,096; Full time

Benefits offered by this job

Fully remote work environment

Opportunity to work on innovative AI projects

Flexible work schedule

Job summary

A leading staffing agency is seeking an AI Engineer to join a rapidly growing AI team. The role focuses on building and deploying generative AI systems, collaborating with talented engineers, and integrating models into scalable applications. Ideal candidates will have strong experience with LLM frameworks and prompt engineering, along with excellent communication skills. This full-time position allows for fully remote work and promises involvement in cutting-edge AI initiatives.

Qualifications

• Proven experience with LLM frameworks.
• Strong knowledge of prompt engineering and model evaluation.
• Familiarity with AI workflows using Python.

Responsibilities

• Design and deploy agentic AI systems with LLMs.
• Collaborate to create scalable AI solutions.
• Integrate generative AI models into applications.

Skills

LLM frameworks (e.g., LangChain, Bedrock Data)

Prompt engineering

Python for data automation

RAG architecture

Docker

Kubernetes

Git

AI observability

Model monitoring

Cost optimization

Job description

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