Software Engineer

Location: Charlotte, NC

Salary: $69.00 USD Hourly - $74.00 USD Hourly

Description:

Lead Software Engineer, Agentic AI Platforms

Location: Charlotte, NC

Duration: 9 months (high potential to extend or convert)

Role Level: Senior / Lead Engineer (10+ years experience)

About the Role

We are building a new Agentic AI platform for Commercial Banking that automates end-to-end servicing workflows starting from inbound email. This system will use autonomous and assisted AI agents to interpret requests, orchestrate services, and execute tasks with minimal human involvement.

You will be a foundational engineering leader responsible for designing the architecture, validating technical decisions, and driving early-stage development in a fast-moving, startup-style environment. This role requires deep AI systems experience-specifically with agentic workflows, LangChain/LangGraph, and Python.

What You Will Build

You will help architect and deliver an AI-driven workflow platform that can:

Ingest and classify incoming emails

Identify intent across single and multi-request messages

Break down and route tasks through an orchestration engine

Use autonomous and human-assisted agents to execute work

Escalate to humans only when needed

Integrate with a front-end chat-style interface for user interaction

This platform is being built from scratch and will serve as a core capability powering operational workflows across Commercial Banking.

Current Phase of the Project

This is greenfield, high-ownership work.

In the next 3-4 weeks, the team is focused on:

Defining system architecture and design patterns

Standing up development and production environments

Establishing foundational infrastructure

Implementing email ingestion and classification

Designing agent orchestration frameworks

Building early POCs to validate technical decisions

Setting up MongoDB, drafting APIs, and standing up the MCP server

Business and technical teams are mapping workflows to determine which agents to build, how they interact, and what will be automated in Phase 1 vs. Phase 2.

Responsibilities

Lead architecture, design, and delivery of the Agentic AI platform

Develop scalable services, APIs (async), and workflow components

Build and validate agent orchestration, task pipelines, and system integrations

Drive technical decision-making and influence platform direction

Review designs, code, and patterns to ensure engineering quality

Guide POCs, experimentation, and architectural tradeoff evaluations

Partner closely with product, operations, and enterprise architecture teams

Provide mentorship and technical leadership as the team grows Minimum Qualifications

10+ years of professional software engineering experience

2+ years building AI systems in production

Hands-on experience delivering at least one production agentic AI solution

Deep expertise in:

Python

LangChain / LangGraph

AI system architecture + agentic patterns

Strong experience with:

MongoDB or other NoSQL databases

Asynchronous API design

Distributed system design

ICP/queueing systems (e.g., Kafka)

Workflow engines or BPM-style systems

Cloud-native environments (CI/CD, containers, observability)

Experience designing microservices architectures

Understanding of enterprise-grade security, compliance, and scalability Preferred Qualifications

Experience with Google ADK (Agent Developer Kit)

Background in banking or financial services (KYC, onboarding, servicing)

Broader experience across LLM orchestration, workflow automation, and multi-agent architectures Candidate Profile (What Success Looks Like)

You should be someone who:

Leads architectural thinking-not just implementation

Can operate with ambiguity and high ownership

Has experience validating decisions through POCs

Is comfortable influencing and challenging technical direction

Drives outcomes, not just writes code

Thrives in fast-moving, startup-like environments

Not a fit:

Pure Python developers without AI system design experience

Academic/research-only AI backgrounds

Candidates with only demo/POC LLM experience and no production delivery Key Screening Signals for Recruiters

Look for resumes with:

"Led," "designed," or "architected" AI/agentic systems

Production experience with LangChain or LangGraph

Ownership of complex distributed systems or AI platforms

Demonstrated technical leadership

Experience taking AI solutions from idea to production

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Contact:

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