Software Engineer, AI Engineer, Cloud Engineer - Software

Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description:
Lead Software Engineer, Agentic AI Workflow Platform

Location: Charlotte, NC
Duration: 9 months (high potential to extend or convert)
Role Level: Senior/Lead (10+ years engineering experience)
About the Role

We are building a new Agentic AI platform for Commercial Banking, designed to automate and streamline email-driven servicing workflows  will be a core technical leader responsible for architecture, system design, and delivery of a next-generation workflow engine powered by autonomous and assisted AI agents.

This is a ground-up build in a startup-like environment, requiring strong ownership, architectural leadership, and hands-on engineering capability.
What You Will Build

A platform that:

• Ingests and classifies inbound emails
• Extracts request intent (including multiple intents per email)
• Orchestrates workflows through an AI-driven engine
• Leverages AI agents to complete tasks end-to-end
• Engages humans only when necessary
• Integrates with a front-end chatbot-style application for user interaction

Agents will operate with autonomous and human-in-the-loop modes.

You will help define the architecture, build foundational infrastructure, and validate design decisions through POCs and testing.
Current Phase of the Project

Early-stage platform development, including:

• End-state vision and architecture definition
• Standing up development and production environments
• Building core infrastructure and orchestration frameworks
• Implementing email ingestion, classification, and early agent patterns
• Designing APIs, workflow components, and the MCP server
• Mapping business workflows to determine agent design and automation phases

This is not a mature product-high ambiguity and high ownership are essential.
Responsibilities

• Lead architecture, design, and development for core platform components
• Drive technology decisions, patterns, and long-term system direction
• Build scalable services, async APIs, and workflow engines
• Implement AI agent orchestration using Lang Chain / Lang Graph
• Review system designs, code quality, and integration patterns
• Partner with product, operations, and architecture teams
• Mentor engineers and elevate engineering standards
• Support Agile planning, estimation, and technical execution

Required Qualifications

Technical Depth

• 10+ years of software engineering experience
• 2+ years building AI-driven systems in production
• Production experience with agentic AI systems
• Advanced experience with Python, Lang Chain, and Lang Graph
• Strong background in distributed systems, async API design, and microservices
• Experience with MongoDB or other No
  
  SQL databases
• Working knowledge of workflow engines, Kafka/queueing systems, and MCP
• Experience in cloud-native environments (containers, CI/CD, observability)
• Understanding of enterprise security, scalability, and compliance

Architecture & Execution

• Able to design scalable system architectures and evaluate tradeoffs
• Ability to drive POCs, validate decisions, and influence cross-functional teams
• Comfortable challenging architectural assumptions with data and experience

Preferred Experience

• Experience with Google ADK (Agent Developer Kit)
• Prior exposure to banking/financial workflows (KYC, onboarding, servicing)
• Deep understanding of LLM orchestration patterns and workflow automation

Candidate Profile (What We're Looking For)

Ideal candidates are:

• Senior AI engineers who have led delivery of at least one production agentic AI solution
• Strong architectural thinkers who can operate with limited direction
• Comfortable working in an evolving, ambiguous environment
• Able to lead technical decisions, frameworks, and system patterns

Not a fit:

• Pure Python developers without AI system experience
• Academic or research-only AI backgrounds
• Candidates who have only built prototypes or demos

Logistics

• Open to relocation
• Onsite interview required
• Team expected to grow significantly-this role will help lead others over time

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Contact:

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