Senior AI Engineer

Hybrid in Dallas, TX, US • Posted 8 hours ago • Updated 8 hours ago
Contract Independent
Contract Corp To Corp
12 Months
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • artificial intelligence
  • Machine Learning
  • LLMs
  • LangGraph
  • LangChain
  • RAG
  • NLP
  • python

Summary

Job Title: Senior AI Engineer
Location: Dallas, TX
Role Overview
  • Lead the design, development, and deployment of advanced AI systems
  • Build cutting-edge solutions across machine learning, NLP, generative AI, LLMs, and multi-agent orchestration
  • Drive innovation across our product portfolio by solving real-world problems
Key Responsibilities
  • Architect, build, and deploy production-grade AI/ML systems at scale
  • Design and develop RAG pipelines, agentic AI systems, and multi-agent orchestration solutions
  • Build intelligent automation flows and conversational AI agents using frameworks like LangGraph, LangChain, and Microsoft Copilot Studio
  • Develop time-series forecasting and anomaly detection models for real-world business use cases
  • Apply advanced prompt engineering and integrate Model Context Protocol (MCP) to connect AI agents with enterprise systems
  • Own the full AI project lifecycle from data ingestion and preprocessing through model training, evaluation, deployment, and monitoring
  • Collaborate with data scientists, software engineers, and product managers to translate business needs into AI-powered solutions
  • Optimize model performance and ensure robustness, fairness, and explainability
  • Stay current with the latest AI/ML research and bring relevant advancements into our stack
Our Technology Landscape
  • Retrieval-Augmented Generation (RAG) pipelines
  • Agentic AI frameworks (e.g., LangGraph, LangChain)
  • Multi-agent orchestration systems
  • Model Context Protocol (MCP) integrations
  • Advanced prompt engineering
  • Time-series modeling, forecasting, and anomaly detection
  • Intelligent automation flows and workflow orchestration
  • Microsoft Copilot Studio for building and deploying custom copilots and conversational AI agents
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field (PhD preferred)
  • 5+ years of AI/ML engineering experience with a proven track record of shipping models to production
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Experience with cloud platforms (AWS, Azure) and MLOps tools
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Solid grounding in software engineering best practices and system design
  • Experience designing and building automation workflows or process automation systems
  • Excellent problem-solving and communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10126072
  • Position Id: 8981162
  • Posted 8 hours ago
Contact the job poster
Mujtaba Mohammed

Mujtaba Mohammed

Recruiter @ Anblicks
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