AI Engineer

About the role

Were looking for an AI Engineer who is equal parts builder and thinker someone who gets energized by turning complex ideas into production-ready AI systems that actually work at scale. This role sits at the intersection of machine learning software engineering and practical business impact.

Youll design develop and deploy end-to-end AI solutions with a strong emphasis on LLM-powered applications intelligent automation and GenAI integrations. You wont just experiment in notebooks; youll ship to production own the lifecycle and collaborate closely with cross-functional teams to ensure your work drives measurable outcomes.

What youll do

• Design and build production-grade AI/ML systems including LLM-powered pipelines RAG architectures and agentic AI workflows
• Develop and maintain scalable MLOps pipelines covering model training deployment monitoring and lifecycle management
• Integrate AI capabilities into enterprise platforms and workflows using tools like LangChain Autogen OpenAI API and Hugging Face
• Collaborate with data scientists product stakeholders and software engineers to translate prototypes into reliable scalable solutions
• Leverage cloud platforms (AWS Azure or GCP) to build and scale AI infrastructure and services
• Create clear technical documentation for AI models systems and workflows
• Stay current on emerging AI frameworks

• 37 years of experience in AI/ML engineering with hands-on deployment experience (not just research or prototyping)
• Strong proficiency in Python and familiarity with frameworks such as TensorFlow PyTorch or Keras
• Practical experience with LLMs prompt engineering and GenAI application development
• Hands-on experience with at least one major cloud platform (AWS Azure or GCP) and containerization tools (Docker Kubernetes)
• Solid understanding of MLOps principles CI/CD workflows and model governance
• Strong communication skills you can explain AI concepts clearly to both technical and non-technical audiences
• Bachelors or Masters degree in Computer Science Engineering Applied Mathematics or a related field or equivalent practical experience
• Experience with Agentic AI frameworks (LangGraph Autogen CrewAI)
• Contributions to open-source AI projects or published research
• Familiarity with infrastructure-as-code tools (Terraform Bicep)
• Experience deploying AI in regulated industries such as healthcare finance or legal

Why this role

• Fully remote no commute no office mandates full flexibility to do your best work from home
• Work on meaningful real-world AI applications with direct business impact not just internal tools
• Competitive compensation benchmarked to Atlanta market rates with room to grow
• Collaborative low-bureaucracy environment where engineers have a voice in technical direction
• Access to the latest AI tooling and encouragement to experiment and innovate

Our client is an EEOC Employer and encourages all minority groups to apply.

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