Gen AI

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); Sur place; USD 96 000 - 165 000; Plein temps

Résumé du poste

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions within an enterprise setting, with emphasis on AWS cloud enablement. You will work on LLM-based applications and agentic AI workflows, collaborating across teams to deliver production-grade AI systems that meet security and reliability standards.

This role requires strong hands-on experience with LLMs, GenAI architectures, and modern cloud-native engineering

Qualifications

• 5+ years building GenAI applications with LLMs and RAG.
• Experience with LangChain, LangGraph, and Foundry Agent Service.
• Experience evaluating GenAI performance and scalability.
• End-to-end GenAI lifecycle: design, integration, deployment, optimization.
• Secure deployment, horizontal scaling, and operational stability.
• Monitoring, logging, and observability in production environments.
• GenAI across AWS and Azure clouds.
• Distributed systems design for scalable AI workloads.
• Docker, Kubernetes, Terraform/ ARM/Bicep in production.
• Python development and microservices architecture.
• Secure coding and data handling in regulated environments.
• CI/CD pipelines, automated testing, and deployment workflows.
• Code reviews and engineering best practices.

Responsabilités

• Design, develop, and deploy GenAI solutions in an enterprise environment.
• Focus on AWS cloud enablement and scalable architectures.
• Collaborate with cross-functional teams to build production-ready AI systems.
• Ensure scalability, security, and reliability of GenAI workloads.

Connaissances

LLM-based GenAI

RAG architectures

Prompt engineering

Agentic AI concepts

LangChain/LangGraph

Foundry Agent Service

Performance evaluation

Python

Microservices

Docker & Kubernetes

Terraform/ ARM/Bicep

CI/CD & testing

Observability

AWS/Azure cloud

Outils

Docker

Kubernetes

Terraform

ARM/Bicep

AWS

Azure

Description du poste

Job Details

• Job ID: J53652


• Job Title: Gen AI


• Location: Atlanta, GA


• Duration: 10 Months + Extension


• Domain Exposure: Education


• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD


• Client: To Be Discussed Later


• Employment Type: W-2, 1099, C2C

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

Equal Opportunity Employer

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.