AI/ML Engineer

Job Description

Job Title: AI Agent Engineer

Location:

Atlanta, GA

• Remote
  
  

Experience Level:

4-7 years of experience in the field or in a related area.

Job Description:

Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.

Additional Job Details:

AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.

Required:

Candidate Skills and Qualifications:

• 4 Years - Experience in AI/ML engineering or advanced data science
• 4 Years - Proven track record of building and deploying production-grade autonomous agents
• 4 Years - Strong experience in context engineering
• 4 Years - Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT
• 4 Years - Experience implementing RAG architectures using vector databases
• 4 Years - Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
• 4 Years - Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
• 4 Years - Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources
• 4 Years - Experience implementing AI guardrails, content filtering, and safety controls
• 4 Years - Understanding of data privacy and handling of sensitive data (PII/PHI)
  
  

Preferred:

• 2 Years - Experience building multi-agent or autonomous agentic workflows
• 2 Years - Experience optimizing LLM cost, token usage, and performance
• 2 Years - Familiarity with enterprise AI deployment patterns and scalability considerations