# Senior AI Engineer

**Company:** [Geneva Trading](https://hotfix.jobs/companies/geneva-trading)
**Location:** Chicago, IL
**Role:** ML Engineering
**Salary:** $200k – $300k/yr
**Experience:** 5+ years
**Skills:** Python, Machine Learning, artificial intelligence, LLMs, Prompt Engineering, ai assistants, agent orchestration, mcp, AWS, GCP, microsoft azure, Automation, production systems
**Posted:** 2026-08-11

> This hands-on senior engineer will lead the practical adoption of AI across engineering by prototyping, deploying, and scaling LLM-powered workflows and internal tools. The role requires strong Python and software engineering fundamentals, production AI experience, and the ability to drive measurable improvements through influence.

## Job Description

## Responsibilities
- Explore and evaluate new AI models, tools, frameworks, and techniques.
- Identify engineering problems, prototype AI-driven solutions, and measure their impact.
- Package successful experiments into workflows, tooling, and engineering best practices.
- Write clean, production-quality code for AI-enabled systems and automation.
- Define and track engineering-efficiency metrics such as cycle time, developer throughput, and time to resolution.
- Lead adoption through training, documentation, and collaboration.
- Integrate LLMs and AI assistants into code review, development, testing, and documentation workflows.
- Build automation and orchestration for repetitive or high-friction processes.
- Develop internal AI-powered tools to improve decision-making and productivity.
- Evaluate and deploy emerging AI capabilities.

## Requirements
- Strong software engineering fundamentals.
- Proficiency in Python and experience building production systems.
- Practical experience applying machine learning or artificial intelligence in production settings.
- Familiarity with LLMs, prompt engineering, and the current AI tooling ecosystem.
- Ability to work independently, set priorities, and manage ambiguity.
- Strong communication skills with engineers and senior leadership.
- Curiosity and enthusiasm for keeping up with a rapidly evolving field.

## Nice-to-haves
- Experience with agent orchestration frameworks and multi-step AI workflows.
- Familiarity with emerging AI tooling standards and protocols, such as MCP.
- Background in trading, fintech, or other performance-sensitive environments.
- Experience with AWS, Google Cloud, or Azure.

## Compensation and Benefits
- Base salary range: **$200,000–$300,000**.
- Eligibility for a performance-based bonus.
- Comprehensive benefits and a competitive total rewards package.

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