GenAI / AI Agent Engineer (Software Engineer 4 - Contingent)

Experis Technology Group

Charlotte (NC)

Hybrid

USD 103,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Medical Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care FSA
Life Insurance
Disability Insurance
Business Travel Insurance
401(k) with match
Weekly Pay

Job summary

ManpowerGroup is seeking a GenAI / AI Agent Engineer (Software Engineer 4 - Contingent) in Charlotte, NC. The role focuses on implementing Generative AI solutions that automate complex operational processes for corporate requests.

The position involves building LLM-powered applications, agent-based workflows, and IDP capabilities, with hybrid work requiring 3 days in-office per week. Applicants should have 3+ years in AI/ML, Python, and relevant frameworks.

Qualifications

  • 3+ years in AI/ML or Generative AI developments.
  • 0
  • 3+ years Python and AI frameworks including LangChain, LangGraph and Google ADK.

Responsibilities

  • Build and deploy LLM-powered apps, agents, and RAG solutions to automate workflows.
  • Implement IDP capabilities with OCR, PDF parsing, data extraction, and validation.
  • Design agent-based architectures to orchestrate multi-step requests using Python.

Skills

AI/ML experience
Python
Generative AI
Workflow automation

Tools

LangChain
LangGraph
Google ADK

Job description

Our client, a financial services organization supporting Commercial and Corporate & Investment Banking operations, is seeking a GenAI / AI Agent Engineer (Software Engineer 4 - Contingent) to join their team. As a GenAI / AI Agent Engineer (Software Engineer 4 - Contingent), you will be part of the team focused on implementing Generative AI solutions that automate operational processes for corporate customer requests. From my perspective, this is the kind of role where I can turn hands-on GenAI engineering into real workflow impact - replacing manual steps with agent-driven automation at scale.

Job Title:

GenAI / AI Agent Engineer (Software Engineer 4 - Contingent)

Location:

300 S Brevard, Charlotte, NC (Hybrid: 3 days per week in the office required)

Pay Range:

$75-$80/hr

What's the Job?
  • Build and deploy LLM-powered applications, AI agents, and RAG (Retrieval-Augmented Generation) solutions that automate operational workflows.
  • Implement Document AI / Intelligent Document Processing (IDP) capabilities using OCR, PDF parsing, data extraction, confidence scoring, and rule-based validation.
  • Design agent-based architectures using Python and frameworks such as LangChain and LangGraph to orchestrate multi-step request handling.
  • Integrate AI workflows with REST APIs and bots to collect required information from multiple applications and validate customer data (e.g., email verification and customer existence checks).
  • Support end-to-end automation that can push validated results into downstream processes (including KYC workflows) and close associated tickets/requests.
What's Needed?
  • 3+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions.
  • 3+ years of hands-on experience with Python and AI development frameworks, including LangChain, LangGraph, Google ADK, and agent-based architectures.
  • 3+ years of experience implementing Document AI / Intelligent Document Processing (IDP) solutions involving OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, fuzzy comparison, and API integration.
  • Strong experience building and deploying LLM-powered applications, AI agents, RAG solutions, and workflow automation platforms.
  • Experience working in a containerized, cloud-driven environment and demonstrating practical implementation experience (not just theoretical GenAI concepts).
What's in it for me?
  • Work on Generative AI automation that consolidates and streamlines approximately 400 different case/request types currently handled manually.
  • Build agent-driven workflows that route requests, extract information from documents, validate results, and drive ticket/request closure.
  • Apply hands-on RAG and document extraction engineering using Python and LangGraph in a real operational setting.
  • Contribute to AI governance expectations with a team that values clear technical decision-making and explainable implementation choices.
  • Join a backfill role supporting ongoing projects with an 18-month duration and potential to extend and/or convert.
Upon completion of waiting period consultants are eligible for:
  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account
  • Health Flexible Spending Account
  • Dependent Care Flexible Spending Account
  • Supplemental Life Insurance
  • Short Term and Long Term Disability Insurance
  • Business Travel Insurance
  • 401(k), Plus Match
  • Weekly Pay
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

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