AI Engineer

Role : AI Engineer Positions : 3 Location: Plano, TX (on-site) Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design, development, and production deployment. Hands-on experience in Python, PySpark, Databricks, Delta Lake, NoSQL, and Azure Cloud, API development (preferably FastAPI in Python).Ability to independently debug and triage problems is essential.Need a creative approach for ability to solve problems wi

Job Title: AI EngineerLocation:[ Dallas TX , Chalotte NC ,Boston MA ,Danbury CT ] Client :E Solutions / Persistent Systems Visa : NO H1 / GC Experience:8 to 10years < dir="ltr">ResponsibilitiesDesign, develop, and maintain ML/AI models and pipelines (training, evaluation, deployment, monitoring)Build and integrate LLM-based features (RAG pipelines, agents, prompt engineering, fine-tuning) into production applicationsCollaborate with data engineers to ensure clean, well-structured data pipelines

Job Title: AI EngineerLocation: Dallas TX/Chicago IL/NYC NY (Onsite 5 days) Job Description: AI Engineer with strong hands-on experience in prompt engineering, LLM response optimization, and AI application development. The ideal candidate can design prompts, improve model output quality, help LLMs understand user input, and build reliable, context-aware AI solutions. Key Responsibilities: Design, develop, and optimize prompts for Large Language Models (LLMs) to improve accuracy, reliability, and

Job Role: AI Engineer Job Location: Irving, TX/ Tampa, FL// Hartford, CT, Raleigh, NC, Richardson, TX // Charlotte, NC, Houston, TX, Phoenix, AZ, Tempe, AZ // Plano, TX Job Type: Full Time Required Skill and Experience Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA). Exposure to RAG systems and basic knowledge of hybrid search techniques. Understanding of model