Description
We are seeking an AI Engineer to join our team at Millennium, a global alternative investment firm. You will play a key role in building and deploying AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows.
The successful candidate will help redesign how business development activity is modeled, processed, controlled, and reported across the firm. You will shape AI-first systems architecture across multiple platforms that support business development and incentive workflows, and design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact.
Responsibilities:
- Build, test, and deploy production-grade AI solutions using generative AI approaches
- Help redesign business development activity modeling, processing, control, and reporting
- Shape AI-first systems architecture across multiple platforms
- Design and implement evaluation frameworks to measure solution quality
- Partner with product managers, data engineers, and business stakeholders to translate business needs into scalable solutions
- Contribute to real-time and batch data pipelines, monitoring, logging, metrics, and guardrails
- Work across regions and departments to understand business workflows and design effective AI solutions
- Perform data cleansing, data engineering, and pipeline development
Requirements:
- 5+ years of data engineering experience, including 1-2 years of hands-on AI experience
- Experience building production-grade GenAI solutions at enterprise scale
- Strong hands-on experience with Python, AWS, Bedrock, LLMs, RAG, and agentic AI
- Familiarity with agent orchestration frameworks such as LangGraph, Pydantic, or similar tools
- Strong understanding of LLMs, RAG, prompt engineering, conversational AI platforms, and modern AI-powered user experiences
- Bachelor's degree in Computer Science or a related field
Salary Range: The estimated base salary range for this position is $175,000 to $250,000.