AI Engineer

Acestack Llc

Phoenix, AZ, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Structures Software Design Patterns Python (Programming Language) Machine Learning NumPy Object-Oriented Software Development Tensorflow Data Ingestion Pytorch Large Language Models

+8 more

Generative AI Pandas Matplotlib Build Management Scikit Learn Xgboost Machine Learning Operations Virtual Agents

Job description

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 LangGraph, LangChain, 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. Communicate technical concepts, project progress, and solution impact effectively to stakeholders and leadership teams

Requirements

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: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini APIs, LangGraph Agents