Job description

TL;DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office attendance at least 3 days a week. 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 (eg. Claude Agent SDK, LangChain, AutoGPTI) • Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS). • Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems. • Develop production-grade data pipelines integrating data to/from AI systems. • Develop and maintain internal tools to speed up development cycles, 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 at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team. QUALIFICATIONS: • Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred. • 4+ years of software engineering or machine learning experience, with a focus on applied AI. • Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas. • Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs. • Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc) • Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions) • Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles. • Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains. • Excellent communication skills and the ability to thrive in cross-functional, mission-driven environments. ABOUT KHARON: Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a AI Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: • Fully sponsored medical, dental, and vision insurances • FSA program for both medical and dependent care • Long term disability • 401k + Roth with matching and immediate vesting • Flexible paid time off + 11 paid holidays The base salary range at Kharon is set between $130,000 to $160,000 . Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit www.kharon.com/careers to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. #LI-AG1

Requirements

Must-haves

TL;DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office attendance at least 3 days a week.
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 (eg. Claude Agent SDK, LangChain, AutoGPTI)
Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS).
Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems.
Develop production-grade data pipelines integrating data to/from AI systems.
Develop and maintain internal tools to speed up development cycles, 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 at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team.
4+ years of software engineering or machine learning experience, with a focus on applied AI.
Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas.
Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs.
Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc)
Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles.
Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains.
Excellent communication skills and the 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 preferred.
Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions)

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Keywords to mirror

aiagileawsci/cdmlmachine learningpythondocker

Platform: pinpoint
Effort: medium

Benefits

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Dental

Vision

401k

Paid Time Off