AI / LLM Engineer – (IDP) || Minneapolis Minnesota (onsite- F2F Interview must) || C2H

Minneapolis, MN, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract Corp To Corp
Contract W2
No Travel Required
On-site
Depends on Experience
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Job Details

Skills

  • AI / LLM Engineer – Intelligent Document Processing (IDP)

Summary

AI / LLM Engineer – Intelligent Document Processing (IDP)
Location: Minneapolis Minnesota (onsite- F2F Interview ) 
DURATION: 6-12 Month Contract To Hire
 
 
Position Overview

Role Purpose
Support AI platform team in implementing Intelligent Document Processing (IDP) solutions that extract and structure information from financial and business documents using large language models and AWS AI services.
The role will help accelerate delivery of multiple AI use cases across the organization by designing document understanding pipelines and configuring LLM-based extraction workflows.

Key Responsibilities
Intelligent Document Processing Development
Design and implement AI pipelines that extract structured data from unstructured documents such as:
  • financial forms
  • contracts
  • estate planning documents
  • advisor documentation
  • client onboarding materials
  • disclosures
Tasks likely include:
  • document classification
  • entity extraction
  • document summarization
  • field mapping
  • validation workflows

LLM Integration & Prompt Engineering
Develop prompts and model configurations to optimize document understanding and extraction.
Work with models such as:
  • Anthropic Claude
  • OpenAI GPT
  • Azure OpenAI
  • Google Gemini
Responsibilities may include:
  • prompt design and optimization
  • evaluating model output accuracy
  • implementing prompt templates
  • configuring model behavior for different document types
 

AI Architecture Implementation
Build and configure AI pipelines within the environment using AWS services.
Likely stack:
  • AWS Bedrock
  • AWS Textract
  • Amazon SageMaker
  • S3
  • Lambda
  • Glue
  • API integrations
Responsibilities may include:
  • integrating document ingestion workflows
  • connecting extraction pipelines to internal systems
  • implementing scalable AI inference workflows

Model Evaluation & Use Case Delivery
Support multiple AI use cases across Ameriprise teams.
2 use cases → 60 use cases
The engineer will likely:
  • onboard new document types
  • tune models for extraction accuracy
  • configure new pipelines quickly
  • help scale AI capabilities across business teams

Collaboration with AI Platform Team
Work with:
  • AI platform engineers
  • data engineers
  • enterprise architects
  • business stakeholders
The role will help translate business needs into AI document processing solutions.

Required Skills
AI / LLM
  • Experience with Large Language Models
  • Prompt engineering
  • LLM evaluation and tuning
  • Document understanding workflows

IDP / Document Processing
Experience with technologies such as:
  • AWS Textract
  • Azure Document Intelligence
  • Google Document AI
  • ABBYY
  • LLM-based document extraction
Understanding of:
  • OCR
  • document classification
  • entity extraction
  • structured data generation

Cloud
Strong experience with AWS:
  • Bedrock
  • SageMaker
  • Lambda
  • S3
  • API integrations

Programming
Likely languages:
  • Python
  • possibly some Java or Node
Used primarily for:
  • pipeline orchestration
  • API integration
  • model interaction

Preferred Skills
Financial services experience would be a big plus, especially knowledge of:
  • financial documentation
  • compliance documents
  • advisor workflows
  • client onboarding processes
 
Employment Type
Contingent labor contractor.
Because TIPS is not yet a vendor, this will likely require:
  • pass-through vendor
  • subcontract arrangement

Manager Included Notes From Meetings
This is important.
He does not want a generic developer.
He specifically said:
“You need to understand how LLM architecture works.”
Ideal Candidate  
  • AI engineer
  • LLM engineer
  • IDP specialist
Someone who understands:
  • how LLMs reason about documents
  • prompt tuning
  • extraction workflows
  • AI architecture
 
(“Believe you can and you’re halfway there.”)
 – Theodore Roosevelt
Sayantan Das Senior Tech Recruiter
E: 
P: +1  |
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91170457
  • Position Id: 19555-40870-
  • Posted 1 day ago

Company Info

About Verito Solutions

At Verito Solutions, our core mission is to be an essential partner in our clients’ success. With a strong vision to become a global leader in delivering innovative and value-driven technology solutions, we are committed to exceeding expectations at every step. Our team is fueled by passion, expertise, and an unwavering determination to provide cutting-edge solutions tailored to the evolving needs of businesses.

We understand the challenges organizations face in today’s fast-paced digital landscape. That’s why we focus on delivering technology solutions that not only enhance efficiency but also save our clients valuable time, money, and effort. Whether it’s optimizing workflows, strengthening cybersecurity, or driving digital transformation, Verito Solutions is dedicated to empowering businesses with seamless, scalable, and future-ready technology.

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