AI Engineer III
virtual vocationsDenver (CO)
About the role
Serving as a hands-on technical lead, the full-time AI Engineer III will manage the development and support of Agentic AI applications, collaborating with cross-functional teams and ensuring the reliability and security of AI systems in a remote work environment.
Key responsibilities:
Lead the design, development, deployment, and support of Agentic AI applications, including multi-agent workflows
Provide technical guidance, code review, and mentorship to AI Engineers and contractors
Architect and implement RAG pipelines, vector search, and LLM integration patterns for production use cases
Required qualifications:
Bachelor's Degree in a technical or numerical field; Master's degree preferred
8+ years of experience in software application design and development or data engineering pipelines
3+ years of experience leading technical teams in AI/ML delivery
Proficiency in LangGraph, LangChain, RAG chatbots, and NLP-based automation
Experience with microservices architecture, Kubernetes, AWS, and/or Azure
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.