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# Forward Deployed AI Software Engineer

- **Company:** Kelly Services Inc.
- **Location:** Bolton, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Accounting Systems, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Continuous Integration, Relational Databases, Amazon DynamoDB, Github, Python (Programming Language), Object-Oriented Software Development, Next.js, Software Engineering, SQL Databases, Systems Integration, TypeScript, Enterprise Software Applications, Tailwind, ReactJS, Large Language Models, Backend, Cloudformation, Build Management, Information Technology, Virtual Agents, Functional Programming, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Automation Anywhere
- **Published:** July 25, 2026
- **Apply:** https://www.juju.com/job/00000000gj8wo2

## About the Role

We're currently seeking a Forward Deployed Software Engineer to own customer deployments from initial discovery through launch, build production-grade backend systems, and architect scalable cloud infrastructure on AWS. This role requires a strong software engineering foundation first - someone who writes clean, modular, object-oriented code and can move from whiteboarding a workflow with a client to implementing the production system behind it. Familiarity with the Agentic AI stack and experience applying AI agents to enterprise workflows are highly valued., + Python

 + AWS (Lambda, S3, SQS, DynamoDB, API Gateway, EC2)

 + AWS CloudFormation / Infrastructure-as-Code

 + SQL / Relational Databases

 + Object-Oriented Programming

 + REST API Development

 + LLM / Agentic AI Workflows

Desired Skills & Experience

 + 3+ years of production-grade software engineering experience

 + BS or MS in Computer Science or related field

 + Experience with RAG, embeddings, and structured LLM outputs

 + Familiarity with React, TypeScript, Next.js, or Tailwind CSS

 + Experience integrating with enterprise platforms such as ERP, TMS, or accounting systems

 + CI/CD pipeline experience including GitHub Actions

 + Strong communication skills with both technical and non-technical stakeholders

 + Self-starter with a high ownership mentality

## Description

+ Travel onsite to client sites to workshop workflows and gather technical requirements

 + Design and build production-grade backend systems supporting enterprise AI workflows

 + Architect and deploy cloud infrastructure on AWS using CloudFormation

 + Implement agentic AI components including LLM-powered workflows and orchestration logic

 + Integrate with enterprise systems such as ERP, TMS, and document platforms

 + Partner with internal engineering and product teams to improve reusable deployment patterns


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