AI Engineer

Design, deploy, and govern enterprise-scale AI systems at Robotics Technologies in Alpharetta, GA (onsite). This AI Engineer role blends hands-on development with technical leadership, building Generative AI capabilities such as LLM/RAG applications and AI agents, while helping teams deliver secure, compliant solutions that scale efficiently.

What you’ll do

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Lead AI 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 for scalability and cost efficiency.
• Collaborate with business stakeholders to identify AI use cases and deliver working solutions.
• Mentor junior engineers and help establish AI engineering best practices.
• Ensure AI governance, security, and compliance standards are followed throughout delivery.

What you bring

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

Tools and platforms you’ll work with

Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB, FAISS, OpenAI, Azure OpenAI, Anthropic Claude, Gemini, LLMs, RAG, AI Agents, REST APIs, microservices, Azure, AWS, GCP, MLOps, CI/CD, Docker, Kubernetes, SQL, and NoSQL (plus LLM fine-tuning).

Preferred qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a 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.

Location: Alpharetta, GA (onsite)
Pay: USD 68 per hour
Experience: 5+ years (AI/ML/DL)