About the role

We're 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.

You'll design, develop, and deploy end-to-end AI solutions — with a strong emphasis on LLM-powered applications, intelligent automation, and GenAI integrations. You won't just experiment in notebooks; you'll ship to production, own the lifecycle, and collaborate closely with cross-functional teams to ensure your work drives measurable outcomes.

What you'll 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

• 3–7 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
• Bachelor's or Master's 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.

By applying to this job, as part of our typical recruiting process, from time to time, we may contact you regarding positions that we feel are a good fit for you or engage with you during the recruiting process via SMS text message. Message and data rates may apply, depending on your mobile phone service plan. At any time you can get more help by replying HELP to these texts, or you can opt-out completely by replying STOP. Our Terms of Service are available at www.peoplelift.com.