aimlroles

Senior AI Engineer, AI Platform

Kharon kharon.com Open · verified Oct 22, 2026
Hybrid Denver Full-time Senior ML Platform & Ops

At a glance

Senior ML Platform & Ops role at Kharon. Denver · full-time · no salary stated · we estimate $180,000–$245,000 across the United States.

Estimated pay

Kharon has not published a salary for this role. The figure below is our estimate, not theirs.

$180,000 – $245,000
What the middle half of senior ML platform & ops roles in the United States paid, among postings that did state a salary.
Worked out from 209 postings that stated pay, median $204,250. Last updated Oct 22, 2026.
RoleML Platform & Ops
SenioritySenior
LocationDenver
WorkplaceHybrid
EmploymentFull-time
PostedSep 29, 2026 · 3w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build AI proof-of-concepts quickly, then test them with users and refine the models and interfaces
  • Take AI features from early design through deployment, covering data flows, code, containers and secure cloud environments
  • Connect production data pipelines to AI systems and create tools such as evaluation harnesses, dashboards and CI/CD scripts
  • Work with product, design, engineering and data science partners to turn business problems into scalable AI systems
  • Monitor AI systems for explainability, performance and alignment with ethical and regulatory standards

What you bring

  • Strong Python software development skills and experience delivering production-ready AI or ML systems through rapid iterations
  • Hands-on experience with AI agents, RAG or memory systems, MCP servers, and tracing tools
  • Familiarity with Docker and cloud deployment, with AWS preferred
  • A computer science, AI, engineering or related degree is preferred

Who this fits

This senior role suits an engineer who can move AI work from experiments into production and collaborate across product and technical teams. You’ll work from Denver and attend the office at least three days each week.

From the employer

TL;DR Kharon is seeking a full-time Senior 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.
  • Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred.
  • 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.