AI Engineer

. Design, develop and deploy AI models, algorithms and systems to enhance productivity .

Posted 4/28/2026full-timeRemote • 🏈 Anywhere in North AmericaMid-LevelSenior💰 $161,500 - $218,500 per yearWebsite

Tools & technologies

AWSAzureCloudJavaPython

Key responsibilities & impact

Design, develop and deploy AI models, algorithms and systems to enhance productivity
Architect and implement production-grade multi-agent AI solutions
Build and maintain end-to-end agentic AI pipelines
Develop, test, and deploy internal AI applications
Provide unified observability with logging, metrics, and alerts
Integrate agentic AI services with existing enterprise systems
Collaborate with cross-functional teams to align AI projects with business goals

What you’ll need

5+ years of experience in AI and machine learning
1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies
Proven track record of delivering end-to-end AI projects
Proficiency in programming languages such as Python, R, or Java
Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks
Deep understanding of prompt or context engineering, tool definition, and state management for agents
Experience with cloud computing platforms, such as Azure, OCI, AWS, or Google Cloud
Strong background in working with large datasets

Comp & perks

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AImachine learningPythonRJavaMCPLangGraphLlamaIndexprompt engineeringcontext engineering

Soft Skills

collaborationcross-functional teamworkcommunication