Gen AI Senior Engineer

VDart Inc; Charlotte (NC); On-site; USD 117,000 - 165,000; Full time

Job summary

VDart Inc in Charlotte, NC is seeking a Gen AI Senior Engineer for a contract engagement across multiple U.S. locations including Atlanta, Minneapolis, Irving, Chicago and Cincinnati.

The role focuses on hands-on development with LLMs, RAG architectures, and cloud-native practices to design, build, and deploy scalable GenAI systems that meet enterprise standards for security, reliability, and performance. You will partner with cross-functional teams to deliver production-ready AI solutions.

Qualifications

• 5+ years of GenAI application development leveraging LLMs, RAG architectures, prompt engineering, and Agentic AI concepts and workflows.
• 5+ years of building intelligent pipelines using LangChain, LangGraph, and Microsoft Foundry Agent Service.
• 5+ years of evaluating GenAI solution performance, accuracy, and scalability.
• 5+ years of end-to-end GenAI lifecycle including solution design, development, deployment, and performance tuning.
• 5+ years of secure deployment, horizontal scaling, and operational stability of GenAI workloads.
• 5+ years of monitoring, logging, and observability practices for production GenAI environments.
• 5+ years of deploying GenAI systems across cloud platforms (Azure and AWS).
• 5+ years of contributing to distributed system design for scalable AI workloads.
• 5+ years of modern infrastructure practices: Docker, Kubernetes, Terraform/ARM/Bicep.
• 5+ years of availability, performance, and security for enterprise solutions.
• 5+ years of CI/CD, automated testing, and deployment workflows.
• 5+ years participating in code reviews and engineering best practices.

Responsibilities

• Design, develop, and deploy scalable GenAI solutions within an enterprise environment with a focus on AWS cloud enablement.
• Strong hands-on expertise in LLM-based applications, GenAI architectures, and modern cloud-native engineering practices.
• Collaborate with cross-functional teams to build production-ready AI systems that meet enterprise standards for scalability, security, and reliability.

Skills

GenAI applications

LLMs

RAG architectures

Prompt engineering

Agentic AI concepts

Python programming

Distributed systems

CI/CD practices

Code reviews

Tools

LangChain

LangGraph

Microsoft Foundry Agent Service

Docker

Kubernetes

Terraform / ARM/Bicep

Azure

AWS

Job description

Role: Gen AI Senior Engineer

Work Location: Charlotte, NC/ Atlanta, GA/ Minneapolis, MN/ Irving, TX/ Chicago, IL/ Cincinnati, OH

Type: Contract

Description

• The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment, with a focus area for AWS cloud enablement.
• This role requires strong hands-on expertise in LLM-based applications, GenAI architectures, and modern cloud-native engineering practices.
• The position partners closely with cross-functional teams to build production-ready AI systems that meet enterprise standards for scalability, security, and reliability.

Basic Qualifications

• Minimum 5+ years of experience developing and implementing GenAI applications leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, and Agentic AI concepts and workflows
• Minimum 5+ years of experience building intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Minimum 5+ years of experience evaluating solution performance, accuracy, and scalability of GenAI implementations
• Minimum 5+ years of experience contributing to the end-to-end GenAI lifecycle, including: Solution design and development, Integration and deployment, and Performance tuning and optimization
• Minimum 5+ years of experience supporting secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Minimum 5+ years of experience assisting in implementing monitoring, logging, and observability practices for production environments
• Minimum 5+ years of experience developing and deploying GenAI systems across cloud platforms (Azure and AWS)
• Minimum 5+ years of experience contributing to distributed system design for scalable AI workloads
• Minimum 5+ years of experience utilizing modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), and Infrastructure as Code (Terraform, ARM/Bicep)
• Minimum 5+ years of experience ensuring solutions meet enterprise expectations for availability, performance, and security
• Minimum 5+ years of experience developing scalable applications using Python and microservices-based architecture
• Minimum 5+ years of experience applying secure coding standards and proper data handling practices for enterprise, regulated environments
• Minimum 5+ years of experience contributing to CI/CD pipelines, automated testing, and deployment workflows
• Minimum 5+ years of experience participating in code reviews and adhere to engineering best practices