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AI Engineer

Ideate Technologies LLCUnited States🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

Leverage your deep expertise in Python, Java, LLMs, and RAG to design and deploy cutting-edge AI applications, with the flexibility of a hybrid work model. This mid-senior role at Ideate Technologies LLC is perfect for seasoned AI Engineers eager to build intelligent agent solutions and contribute to innovative projects, offering significant opportunities for skill development and career advancement. Join a dynamic team and apply today to shape the future of AI!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
21 hours ago
DockerMicroservicesAWSMachine LearningNLPScrumAgileGenerative AIJavaKubernetesLLMPythonREST

Job Description

Mandatory Skills: RAG,Python, Java, Agentic AI, LLMs, RAG, LangChain/LangGraph, Generative AI, AWS.
Job Description:
We are seeking an experienced AI Engineer with strong expertise in Python, Java, Agentic AI, Large Language Models (LLMs), and Generative AI. The ideal candidate will be responsible for designing, developing, and deploying AI-powered applications and intelligent agent solutions using modern AI frameworks and cloud technologies.
Required Skills:
  • 9+ years of software development experience.
  • Strong hands-on experience with Python and Java.
  • Expertise in Agentic AI, Large Language Models (LLMs), and Generative AI.
  • Experience with Retrieval-Augmented Generation (RAG) and LangChain/LangGraph.
  • Strong understanding of prompt engineering and AI agent workflows.
  • Experience integrating AI solutions with enterprise applications.
  • Hands-on experience developing REST APIs and microservices.
  • Experience with vector databases such as Pinecone, FAISS, or ChromaDB.
  • Experience with cloud platforms, preferably AWS.
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines.
  • Strong knowledge of Machine Learning and NLP concepts.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience working in Agile/Scrum environments.
Responsibilities:
  • Design, develop, and deploy AI-powered applications.
  • Build intelligent AI agents using Agentic AI frameworks.
  • Develop and optimize LLM and RAG-based solutions.
  • Integrate AI capabilities into enterprise applications.
  • Collaborate with cross-functional teams to deliver scalable AI solutions.
  • Optimize AI models for performance, scalability, and reliability.
  • Follow DevOps and CI/CD best practices for AI deployments.

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