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