AI Engineer
Listed on 2026-08-28
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
AI Engineer
Location:
Sunrise, FL / Phoenix, AZ (Onsite) Fulltime
Role - AI Engineer
Experience Required - 8+ Years
We are seeking a highly skilled AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI frameworks to design, develop, deploy, and optimize intelligent AI solutions. The ideal candidate will have deep hands-on experience in building scalable ML pipelines, developing multimodal AI applications, and implementing advanced LLM-powered agentic systems that drive business value.
Must Have Technical/Functional Skills
• Design, build, and optimize machine learning pipelines.
• Core Python Fundamentals: OOPs concepts, Functions & Modules, Iterators / Generators, Exception handling, Decorators, Typing / Data classes, Data Structures & Algorithms, Design Patterns.
• Machine Learning:
Num Py, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, Tensor Flow, MLflow, Matplotlib
• Generative & Agentic AI:
Lang Chain, Lang Graph, Llama Index, FAISS / Pinecone,OpenAI / Anthropic / Gemini APIs, Lang Graph Agents
Roles & Responsibilities
Design, develop, and deploy scalable AI and Machine Learning solutions to solve complex business problems.
Build and optimize end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
Develop advanced Generative AI applications leveraging Large Language Models (LLMs), RAG architectures, and AI agents.
Design and implement Agentic AI frameworks using Lang Graph, Lang Chain, and related technologies.
Build and deploy multimodal AI solutions that integrate text, image, audio, and video capabilities.
Collaborate with cross-functional teams including Product Managers, Business Stakeholders, Data Engineers, and Architects to define AI strategies and roadmaps.
Evaluate emerging AI technologies and recommend innovative solutions to improve business outcomes.
Ensure AI systems meet performance, scalability, security, and governance requirements.
Provide technical leadership, mentor junior engineers, and drive AI engineering best practices across the organization.
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