AI-ML Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Are you passionate about applyingAIto solve complex business challenges at enterprise scale? We are seeking a LeadAI/MLEngineer to design, build, and operationalizeAIcapabilities that drive decision-making, productivity, and innovation across the Finance organization.

In this role, you will lead the development ofAI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will work closely with Finance, Data Engineering, Architecture, Security, and ResponsibleAIteams to deliver trusted, scalable, and governedAIsolutions. The role aligns with enterpriseAI/MLengineering practices andAIproductization standards

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; equivalent experience considered.
• Significant experience in software engineering, machine learning, orAIengineering.
• Hands-on experience building and deploying generativeAIand LLM-based applications in production environments.
• Experience with prompt engineering, RAG architectures,AIagents, model evaluation, and operationalAIgovernance.
• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable software systems.
• Knowledge of ResponsibleAI, security, privacy, and compliance practices.
• Proven ability to work effectively with technical and business stakeholders.

Preferred Qualifications:

• Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or other enterprise finance functions.
• 1-2+ years in developing and deploying agenticAIsolutions.
• Familiarity withAIobservability, model monitoring, vector databases, semantic search, and knowledge retrieval systems.
• Experience leading enterpriseAIproducts from design through production support.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.