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Senior AI Engineer
Summary by AIEngineer.careers
Senior AI Engineer is a AI Engineer role (full-time). with Kharon. in DENVER, US. Compensation shown: $160K–$200K. Imported listing (source: emploive.com). Apply on the employer's site (emploive.com).
Imported listing (source: emploive.com) · Apply on emploive.com
DENVER · US
$160K–$200K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from emploive.com
Kharon is seeking a Senior AI Engineer in Denver to design and ship production-grade AI applications, focusing on multi-agent orchestration, foundation model fine-tuning, and secure cloud deployment. The role involves building advanced AI components using frameworks like LangChain and MCP, while ensuring systems are monitored, explainable, and aligned with ethical standards. You will collaborate cross-functionally to translate complex business problems into scalable AI solutions within the global security and risk domain.
Responsibilities
- Design, develop, and ship proof-of-concept AI applications in fast, agile cycles.
- Build and integrate advanced AI components including Model Context Protocol clients/servers and multi-agent orchestration frameworks.
- Architect data flows, containerize services, and deploy them in secure cloud environments (AWS).
- Develop production-grade data pipelines and internal tools for CI/CD and evaluation harnesses.
- Ensure AI systems are monitored, explainable, and compliant with regulatory standards.
Requirements
- Bachelor's or Master’s degree in Computer Science, AI, Engineering, or related field.
- Strong Python development skills with experience in Langchain/Langgraph, Pydantic, SQLAlchemy/Alembic.
- Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, and MCP Servers.
Kharon
Denver · US · 186+ employees
Kharon is a risk-intelligence and data-infrastructure company. It provides verified intelligence and analytics to help organizations identify sanctions, export-control, forced-labor, investment, research-security, foreign-ownership, and third-party due-diligence risks.
