Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description: GenAI / AI Automation EngineerWe are not accepting C2C or 1099 arrangements.Location: Charlotte, NC
Duration: Contract
About the RoleWe are seeking a highly skilled
GenAI / AI Automation Engineer to join a team focused on transforming operational processes through intelligent automation. This role supports Commercial Banking and Corporate & Investment Banking initiatives by designing and implementing AI-driven solutions that automate customer service requests, document processing workflows, and operational case management.
The team is building next-generation agentic AI solutions that leverage Generative AI, Machine Learning, Retrieval-Augmented Generation (RAG), and Intelligent Document Processing (IDP) technologies to reduce manual effort and improve operational efficiency. The overall program is focused on automating hundreds of customer request types that are currently handled through manual processes.
This is an excellent opportunity for someone who enjoys building real-world AI applications and can demonstrate hands-on experience delivering production-grade GenAI solutions.
What You'll Do- Design, build, and deploy AI-powered applications using Generative AI and Machine Learning technologies.
- Develop agent-based automation solutions utilizing LangGraph, LangChain, Google ADK, and Python.
- Create and optimize Retrieval-Augmented Generation (RAG) systems for enterprise workflows.
- Build Intelligent Document Processing (IDP) solutions to automate document ingestion, extraction, validation, and processing.
- Develop AI agents that identify customer intent, orchestrate workflows, gather required data, and automate operational tasks.
- Integrate AI solutions with enterprise systems using REST APIs and microservices.
- Implement document extraction capabilities including OCR, PDF parsing, entity extraction, validation rules, confidence scoring, and semantic matching.
- Collaborate with engineering and business teams to automate complex operational processes.
- Support AI governance, model evaluation, and responsible AI implementation standards.
- Build scalable and containerized AI services deployed within cloud-based environments.
- Contribute to ongoing enhancements of intelligent automation platforms supporting enterprise banking operations.
Required QualificationsAI & Machine Learning- 3+ years of experience developing Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions.
- Strong hands-on experience designing and deploying production AI applications.
- Experience building AI agents and agentic workflows.
Python & AI Frameworks- 3+ years of hands-on experience with Python.
- Experience with:
- LangGraph
- LangChain
- Google ADK
- Agent-based architectures
Retrieval-Augmented Generation (RAG)- Strong experience designing and implementing RAG solutions.
- Experience integrating vector search, knowledge retrieval, and large language models into enterprise applications.
Intelligent Document Processing (IDP)- 3+ years of experience implementing Document AI / Intelligent Document Processing solutions.
- Experience with:
- OCR
- PDF parsing
- Data extraction
- Confidence scoring
- Rule-based validation
- Semantic matching
- Fuzzy comparison
- API integration
Application Development- Experience building and deploying:
- LLM-powered applications
- AI agents
- Workflow automation platforms
- Enterprise AI solutions
Integration & Data Technologies- REST API development and integration experience.
- Experience working with distributed systems and event-driven architectures.
- Strong understanding of enterprise-scale application integration.
Preferred Qualifications- Experience with MongoDB.
- Experience with Kafka.
- Experience working within cloud-native and containerized environments.
- Experience with Java-based services and integrations.
- Experience supporting large-scale automation programs.
- Financial services experience is a plus, but not required.
- Experience from industries such as retail, healthcare, manufacturing, technology, or other sectors with large-scale process automation initiatives is welcome.
Technology Environment- Python
- LangGraph
- LangChain
- Google ADK
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLMs)
- MongoDB
- Kafka
- REST APIs
- Java Services
- Intelligent Document Processing (IDP)
- OCR Technologies
- Cloud Platforms
- Containerized Architectures
What the Hiring Manager Is Looking ForThis role requires a candidate who has personally built and implemented AI solutions in production environments.
Successful candidates will be able to clearly discuss:
- Specific GenAI projects they personally delivered.
- Why particular AI models were selected.
- Design decisions and architectural tradeoffs.
- RAG implementation approaches.
- Document extraction strategies.
- Agent orchestration using LangGraph.
- Business outcomes achieved through automation.
- Challenges encountered and lessons learned.
Candidates should be prepared to go beyond conceptual discussions and demonstrate deep hands-on implementation experience.
AI Technical Assessment RequirementIMPORTANT: All submissions must include an AI technical assessment demonstrating hands-on experience with the required technologies.
The assessment should showcase practical proficiency in some or all of the following areas:
- Python development
- LangGraph and/or LangChain implementation
- RAG solution development
- AI agent design
- Intelligent Document Processing (IDP)
- OCR and document extraction
- LLM application development
- API integrations
- Workflow automation
Examples may include:
- GitHub portfolio projects
- Technical case studies
- Solution architecture documentation
- AI project walkthroughs
- Code samples
- Internal or external AI proof-of-concepts
- Recorded demonstrations
- Technical presentations
Submissions without evidence of practical AI implementation experience may not be considered.
Benefits FeaturedMedical, Dental , and Vision Insurance is offered to qualified candidates.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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