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AI Engineer

ExperiencedNo visa sponsorship
Millennium logo

at Millennium

Hedge Funds

Posted 7 days ago

No clicks

**AI Engineer** | Build & deploy generative AI solutions, redesign business models, and shape AI-driven systems architecture. Key responsibilities involve creating production-grade AI using LLMs, RAG, prompt optimization, and agentic workflows. verkaufte experience in data engineering, Python, AWS, Bedrock, and familiarity with LLMs, RAG, agentic AI is essential. Collaborate with stakeholders to deliver scalable, high-quality AI solutions. Join Millennium's Business Development and Compensation Technology team and contribute to their evolving platforms.

Compensation
$175,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Full Job Description

AI Engineer

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millenniums mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Core to the health and growth of our business, Millenniums Information Technology organization builds the flexible, scalable platforms and advanced proprietary systems that support the firms active, multi-manager model. Within this organization, the Business Development and Compensation Technology team supports platforms that sit at the center of the firms business development and incentive operating model, partnering across functions to deliver scalable, well-controlled systems aligned with evolving business and reporting needs.

What You'll Do

  • Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows

  • Help redesign how business development activity is modeled, processed, controlled, and reported across the firm

  • Shape AI-first systems architecture across multiple platforms that support business development and incentive workflows

  • Design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact

  • Partner closely with product managers, data engineers, and business stakeholders to translate business needs into scalable, production-ready solutions

  • Contribute to real-time and batch data pipelines, while supporting monitoring, logging, metrics, guardrails, and human-in-the-loop review processes

  • Work across regions and departments to understand business workflows, contractual documents, and unstructured data in order to design effective AI solutions

  • Perform data cleansing, data engineering, and pipeline development needed to make AI solutions reliable, scalable, and production-ready

What You Bring

  • 5+ years of data engineering experience, including 1 to 2 years of hands-on AI experience

  • Experience building production-grade GenAI solutions at enterprise scale, including work with MCPs, agent architectures, and RAG; exposure to GraphRAG is a plus

  • 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 is highly desirable

  • Experience evolving traditional RAG architectures into more advanced agentic AI workflows

  • Strong understanding of LLMs, RAG, prompt engineering, conversational AI platforms, and modern AI-powered user experiences

  • Ability to design, optimize, and evolve large-scale conversational AI platforms with strong standards for code quality, documentation, and maintainability

  • Bachelors degree in Computer Science or a related field

Salary Range

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individuals experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

AI Engineer

Compensation

$175,000 – $250,000 USD

City: New York City

Country: United States

Millennium logo
Hedge Funds

7 days ago

No clicks

at Millennium

ExperiencedNo visa sponsorship

**AI Engineer** | Build & deploy generative AI solutions, redesign business models, and shape AI-driven systems architecture. Key responsibilities involve creating production-grade AI using LLMs, RAG, prompt optimization, and agentic workflows. verkaufte experience in data engineering, Python, AWS, Bedrock, and familiarity with LLMs, RAG, agentic AI is essential. Collaborate with stakeholders to deliver scalable, high-quality AI solutions. Join Millennium's Business Development and Compensation Technology team and contribute to their evolving platforms.

Full Job Description

AI Engineer

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millenniums mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Core to the health and growth of our business, Millenniums Information Technology organization builds the flexible, scalable platforms and advanced proprietary systems that support the firms active, multi-manager model. Within this organization, the Business Development and Compensation Technology team supports platforms that sit at the center of the firms business development and incentive operating model, partnering across functions to deliver scalable, well-controlled systems aligned with evolving business and reporting needs.

What You'll Do

  • Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows

  • Help redesign how business development activity is modeled, processed, controlled, and reported across the firm

  • Shape AI-first systems architecture across multiple platforms that support business development and incentive workflows

  • Design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact

  • Partner closely with product managers, data engineers, and business stakeholders to translate business needs into scalable, production-ready solutions

  • Contribute to real-time and batch data pipelines, while supporting monitoring, logging, metrics, guardrails, and human-in-the-loop review processes

  • Work across regions and departments to understand business workflows, contractual documents, and unstructured data in order to design effective AI solutions

  • Perform data cleansing, data engineering, and pipeline development needed to make AI solutions reliable, scalable, and production-ready

What You Bring

  • 5+ years of data engineering experience, including 1 to 2 years of hands-on AI experience

  • Experience building production-grade GenAI solutions at enterprise scale, including work with MCPs, agent architectures, and RAG; exposure to GraphRAG is a plus

  • 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 is highly desirable

  • Experience evolving traditional RAG architectures into more advanced agentic AI workflows

  • Strong understanding of LLMs, RAG, prompt engineering, conversational AI platforms, and modern AI-powered user experiences

  • Ability to design, optimize, and evolve large-scale conversational AI platforms with strong standards for code quality, documentation, and maintainability

  • Bachelors degree in Computer Science or a related field

Salary Range

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individuals experience level and the qualifications they bring to the role to formulate a competitive total compensation package.