Lead AI/ML Engineer - LLM & RAG for Finance

Valiant Technologies LLC; Minneapolis (MN); On-site; USD 180,000 - 240,000; Full time

Job summary

Valiant Technologies LLC in Minneapolis seeks a Lead AI/ML Engineer to design, build, and operationalize AI capabilities that power Finance decision-making, productivity, and innovation.

You will lead AI-powered solutions including LLM applications, RAG, intelligent agents, and classification and summarization workflows, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver scalable, governed AI products.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Significant experience in software engineering, ML, or AI engineering.
• Hands-on experience with generative AI and LLM deployments in production.
• Experience with prompt engineering, RAG, AI agents, evaluation, and governance.
• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable systems.
• Knowledge of Responsible AI, security, privacy, and compliance practices.
• Ability to work with both technical and business stakeholders.

Responsibilities

• Lead design, build, and operationalize AI capabilities for enterprise scale.
• Develop LLM applications, RAG, agents, classification, and summarization workflows.
• Collaborate with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver governed AI solutions.
• Align with enterprise AI/ML engineering practices and AI productization standards.

Skills

Software engineering

Machine learning

Prompt engineering

LLM applications

Cloud-native architectures

Security and governance

Stakeholder collaboration

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Tools

RAG architectures

Vector databases

Semantic search

Knowledge retrieval systems

AI observability

Job description

Valiant Technologies LLC in Minneapolis seeks a Lead AI/ML Engineer to design, build, and operationalize AI capabilities that power Finance decision-making, productivity, and innovation.

You will lead AI-powered solutions including LLM applications, RAG, intelligent agents, and classification and summarization workflows, collaborating with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver scalable, governed AI products.