AI Engineer, AI Platform
About The Position
Kharon is seeking a full-time AI Engineer for its AI Platform work, based in Denver. The role requires in-office attendance at least three days per week. The engineer will rapidly prototype and deliver AI applications, take solutions from idea through production, and develop systems and tools that support efficient, secure, and responsible AI development. They will collaborate with product managers, designers, engineers, and data scientists to turn business problems into scalable AI systems. Kharon works with complex data related to global security and international commerce, helping clients assess and operationalize risk information.
Requirements
- At least 4 years of software engineering or machine learning experience, focused on applied AI.
- Strong software development skills in Python.
- Experience with libraries and tools such as LangChain/LangGraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, and PySpark, Polars, or Pandas.
- Experience with tracing systems such as MLflow or Sentry, RAG systems, memory systems, MCP servers, and agent skills; knowledge of different models and their tradeoffs.
- Strong understanding of how to use AI tools for rapid development, such as Cursor or Claude Code.
- Familiarity with containerization using Docker and cloud deployment, preferably AWS, as well as GitHub Actions.
- Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles.
- Excellent communication skills and ability to thrive in cross-functional, mission-driven environments.
Nice To Haves
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field is preferred.
- Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains.
Responsibilities
- Design, develop, and ship proof-of-concept AI applications within days or weeks.
- Work in fast, agile cycles to test ideas, gather feedback, and refine models and interfaces.
- Build and integrate advanced AI components, including Model Context Protocol clients and servers, foundation-model fine-tuning, and multi-agent orchestration frameworks.
- Take features from idea to production by architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments such as AWS.
- Partner with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems.
- Develop production-grade data pipelines that integrate data to and from AI systems.
- Develop and maintain internal tools to accelerate development, including CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments.
- Ensure AI systems are monitored, explainable, and aligned with ethical, regulatory, and performance standards.
- Stay current with AI/ML advancements, evaluate open-source frameworks, and share best practices across the team.
Benefits
- Fully sponsored medical, dental, and vision insurance.
- Medical and dependent-care flexible spending account program.
- Long-term disability coverage.
- 401(k) and Roth plans with matching and immediate vesting.
- Flexible paid time off.
- 11 paid holidays.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
