AI Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Alpharetta (GA); On-site; USD 77,000 - 110,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Alpharetta, GA is seeking an experienced AI Engineer to design, develop, and deploy enterprise-scale AI/ML and Generative AI solutions. You will lead AI initiatives, collaborate with cross-functional teams, and drive scalable AI systems aligned with business goals.

The role requires deep hands-on AI/ML expertise, leadership experience, and strong familiarity with LLMs, vector databases, and cloud-based MLOps.

Qualifications

• Weak or strong IT background with enterprise AI/ML experience.
• Experience designing and deploying enterprise-scale AI systems.
• Hands-on expertise with generative AI and LLMs.
• Proficiency with cloud platforms and MLOps practices.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Lead architecture discussions and provide technical guidance to teams.
• Build RAG-based apps, AI copilots, chatbots, and automation.
• Integrate LLMs with enterprise data sources and apps.
• Optimize model performance, scalability, and cost efficiency.
• Collaborate with stakeholders to identify AI use cases.
• Mentor engineers and ensure AI governance and security.

Skills

AI/ML experience

Deep learning

Generative AI

LLMs

Azure OpenAI

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

Vector databases

REST APIs

Docker

Kubernetes

SQL

NoSQL

Education

Master's degree in CS/AI

Tools

Docker

Kubernetes

LangChain

Pinecone

Weaviate

ChromaDB

FAISS

LlamaIndex

OpenAI

Azure OpenAI

TensorFlow

PyTorch

Scikit-learn

Job description

Job Overview

Job ID: J54705

Job Title: AI Engineer

Location: Alpharetta, GA

Duration: 14 Months + Extension

Domain Exposure: Telecom

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate

$68/hour (C2C)

Job Summary

We are seeking an experienced AI Engineer with 14+ years of overall IT experience and strong expertise in designing, developing, and deploying enterprise-scale AI/ML and Generative AI solutions. The ideal candidate will lead AI initiatives, collaborate with cross-functional teams, and drive the implementation of scalable AI systems that support business objectives.

Required Skills

• 12+ years of software engineering and data solutions experience.
• 5+ years of hands-on experience in Artificial Intelligence, Machine Learning, and Deep Learning.
• Strong expertise in Generative AI, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and AI Agents.
• Experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar AI platforms.
• Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Experience with LangChain, LlamaIndex, Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS).
• Strong understanding of prompt engineering and LLM fine-tuning.
• Experience building REST APIs and microservices.
• Knowledge of cloud platforms: Azure, AWS, or GCP.
• Experience with MLOps, CI/CD, Docker, and Kubernetes.
• Strong SQL and NoSQL database experience.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Lead architecture discussions and provide technical guidance to development teams.
• Build RAG-based applications, AI copilots, chatbots, and intelligent automation solutions.
• Integrate LLMs with enterprise applications and data sources.
• Optimize model performance, scalability, and cost efficiency.
• Collaborate with business stakeholders to identify AI use cases and deliver solutions.
• Mentor junior engineers and establish AI engineering best practices.
• Ensure AI governance, security, and compliance standards are followed.

Preferred Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience in healthcare, finance, retail, or enterprise digital transformation projects.
• AI/Cloud certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer.

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.