1 day ago
Denver, CO, USAMid Level
Base Salary
$130k - $170k/yr
Responsibilities
- Design, develop, and ship proof-of-concept AI applications through rapid testing, feedback, and refinement cycles.
- Build and integrate Model Context Protocol clients and servers, foundation-model fine-tuning, and multi-agent orchestration frameworks.
- Take AI features from concept to production by architecting data flows, writing production-quality code, containerizing services, and deploying them in secure cloud environments.
- Collaborate with product managers, designers, engineers, and data scientists to translate business problems into scalable AI systems.
- Develop production-grade data pipelines that integrate data with AI systems.
- Build and maintain internal development tools, CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments.
- Monitor AI systems and ensure they are explainable and aligned with ethical, regulatory, and performance standards.
- Evaluate AI/ML advancements and open-source frameworks and share best practices across the team.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field is preferred.
- At least 4 years of software engineering or machine learning experience focused on applied AI.
- Strong Python software development skills and experience with LangChain/LangGraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark, Polars, or Pandas.
- Experience with MLFlow, Sentry, RAG systems, memory systems, MCP servers, agent skills, and model tradeoffs.
- Experience using AI development tools such as Cursor and Claude Code.
- Familiarity with Docker, AWS, and GitHub Actions.
- Demonstrated ability to ship production-ready ML/AI systems under tight iteration cycles.
- Strong problem-solving, communication, and cross-functional collaboration skills.
Benefits
- Fully sponsored medical, dental, and vision insurance.
- Medical and dependent-care FSA programs.
- Long-term disability coverage.
- 401(k) and Roth plans with matching and immediate vesting.
- Flexible paid time off and 11 paid holidays.
- Denver-based role requiring in-office attendance at least 3 days per week.
Categories
About Kharon
Kharon builds a risk intelligence platform and datasets that map connections to sanctioned and other high‑risk actors, supporting sanctions, anti‑money laundering, export controls, forced labor, and third‑party due diligence. Delivered via SaaS and APIs backed by a research-driven knowledge graph, it supports compliance and investigative workflows for global banks, corporations, universities, and government agencies. Privately held and founded in 2016, Kharon is headquartered in Denver, Colorado.