AI Engineer

Robotics Technologies LLC; Alpharetta (GA); On-site; USD 77,000 - 110,000; Full time

Job summary

Robotics 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 across cross-functional teams and drive scalable systems that align with business goals.

The ideal candidate has extensive software engineering experience and deep knowledge of AI/ML, LLMs, and MLOps, with hands-on proficiency in Python and major ML frameworks.

Qualifications

• 12+ years of software engineering and data solutions 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.

Skills

Leadership

Communication

Problem Solving

Education

Master's degree in Computer Science / AI / Data Science

Tools

Python

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)

REST APIs

Docker

Kubernetes

Azure

AWS

GCP

ML Ops

CI/CD

Job description

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

• Job Title: AI Engineer


• Location: Alpharetta, GA


• Duration: 14 Months + Extension


• Bill Rate: $68/hour (C2C)


• Job Type: W-2, 1099, C2C


• Client: To Be Discussed Later


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

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.

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.