Lead Generative AI/ML Engineer for Finance

Ethereum Technologies; Minneapolis (MN); On-site; USD 150,000 - 190,000; Full time

Job summary

Ethereum Technologies in the United States seeks a Lead AI/ML Engineer to design, build, and operationalize enterprise AI capabilities that drive decision-making and productivity within Finance. You will lead LLM applications, RAG, intelligent agents, and summarization workflows.

You will collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI solutions that align with governance and productization standards across the

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Significant software engineering, ML, or AI engineering experience.
• Hands-on experience deploying generative AI and LLM-based applications.
• Experience with prompt engineering, RAG, AI agents, evaluation, and governance.
• Knowledge of cloud-native architectures, APIs, data platforms, and scalable systems.
• Understanding of responsible AI, security, privacy, and compliance.
• Ability to collaborate with technical and business stakeholders.

Responsibilities

• Design, build, and operationalize AI capabilities for enterprise scale.
• Lead development of LLM applications, RAG, agents, and summarization workflows.
• Collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams.
• Ensure trusted, scalable, and governed AI solutions.
• Align with enterprise AI/ML engineering practices and productization standards.

Skills

Software engineering

Machine learning

AI engineering

Prompt engineering

RAG architectures

AI agents

Model evaluation

Operational AI governance

Cloud-native architectures

APIs

Data platforms

Security and privacy

Stakeholder collaboration

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Vector databases

Semantic search

Knowledge retrieval

Job description

Ethereum Technologies in the United States seeks a Lead AI/ML Engineer to design, build, and operationalize enterprise AI capabilities that drive decision-making and productivity within Finance. You will lead LLM applications, RAG, intelligent agents, and summarization workflows.

You will collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI solutions that align with governance and productization standards across the