Gen AI

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions in an enterprise environment with AWS cloud enablement focus.

You will work with cross-functional teams to build production-ready AI systems that meet scalability, security, and reliability standards.

Qualifications

• 5+ years building GenAI applications and evaluating performance, accuracy, and scalability.
• Experience in design, development, integration, deployment, and optimization of GenAI systems.
• Proficient with cloud platforms (Azure and AWS) and scalable microservices.
• Strong emphasis on secure coding, observability, and production readiness.

Responsibilities

• Design, develop, and deploy scalable GenAI solutions for enterprise environments.
• Lead end-to-end GenAI lifecycle including integration and deployment.
• Implement monitoring, logging, and observability for production workloads.
• Collaborate with cross-functional teams to meet security and performance standards.

Skills

GenAI development

LLMs & RAG

Prompt engineering

Agentic AI concepts

End-to-end GenAI lifecycle

Tools

Docker

Kubernetes

Terraform

ARM/Bicep

LangChain

LangGraph

Microsoft Foundry Agent Service

Azure

AWS

Job description

Job 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 implementation
• 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 environment
• 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 securit
• 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.