About the roleWe're looking for an AI Engineer in the Atlanta area 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 doDesign and build production-grade AI/ML systems, including LLM-powered pipelines, RAG architectures, and agentic AI workflowsDevelop and maintain scalable MLOps pipelines covering model training, deployment, monitoring, and lifecycle managementIntegrate AI capabilities into enterprise platforms and workflows using tools like LangChain, Autogen, OpenAI API, and Hugging FaceCollaborate with data scientists, product stakeholders, and software engineers to translate prototypes into reliable, scalable solutionsLeverage cloud platforms (AWS, Azure, or GCP) to build and scale AI infrastructure and servicesCreate clear technical documentation for AI models, systems, and workflowsStay current on emerging AI frameworksWhat you bring3–7 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 KerasPractical experience with LLMs, prompt engineering, and GenAI application developmentHands-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 governanceStrong communication skills — you can explain AI concepts clearly to both technical and non-technical audiencesBachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field — or equivalent practical experienceExperience with Agentic AI frameworks (LangGraph, Autogen, CrewAI)Contributions to open-source AI projects or published researchFamiliarity with infrastructure-as-code tools (Terraform, Bicep)Experience deploying AI in regulated industries such as healthcare, finance, or legalWhy this roleFully remote in the Atlanta areaWork on meaningful, real-world AI applications with direct business impact — not just internal toolsCompetitive compensation benchmarked to Atlanta market rates with room to growCollaborative, low-bureaucracy environment where engineers have a voice in technical directionAccess to the latest AI tooling and encouragement to experiment and innovatePeopleLift is an equal opportunity employer and staffing partner. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other characteristic protected under applicable federal, state, or local law. We are committed to building diverse, inclusive teams and encourage candidates from all backgrounds to apply. This employer participates in E-Verify. Applicants have rights under Federal Employment Laws.Our client is an EEOC Employer and encourages all minority groups to apply.
