AI/ML Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
50% Travel

Skills

Artificial Intelligence
Cloud Computing
Machine Learning (ML)
Large Language Models (LLMs)
LangChain
Google Cloud Platform
Apache Spark
Database
Deep Learning
Amazon Web Services
PySpark
SQL
Python
Microsoft Azure
Real-time
Natural Language Processing

Job Details

Job Title: AI/ML Engineer

Location: Phoenix, AZ (Hybrid)

Contract Type: W2 Only

Duration: 12+ Months

Job Summary:
We are seeking an AI/ML Engineer with deep expertise in large language models (LLMs) and AI agent development to build production-grade intelligent systems. You will design, implement, and deploy AI solutions that analyze text, extract insights, and automate business workflows.

Key Responsibilities:

  • Design and implement production-grade AI agents using ChatGPT, Claude, Gemini, or other leading LLMs
  • Develop AI systems to analyze text, extract key information, and trigger business workflows
  • Integrate AI agents with databases and enterprise systems for real-time decision-making
  • Optimize data retrieval pipelines using SQL and Spark/Python
  • Fine-tune LLMs for domain-specific tasks and business applications
  • Build RAG (Retrieval-Augmented Generation) systems for knowledge-intensive tasks
  • Ensure scalability, reliability, and security of AI solutions in production
  • Collaborate with product and engineering teams to deploy AI into existing workflows
  • Monitor and improve AI model performance and accuracy
  • Stay updated with cutting-edge advancements in LLMs and AI agents

Required Skills & Qualifications:

  • 10+ years of hands-on AI/ML engineering experience
  • Proven expertise in at least one leading LLM (ChatGPT, Claude, Gemini, etc.)
  • Production experience building and deploying AI agents
  • Strong Python programming skills (PySpark is a plus)
  • Proficiency in SQL for data retrieval and processing
  • Experience with:
    • Text analysis and information extraction
    • API integrations for AI/ML systems
    • Workflow automation using AI
  • Knowledge of RAG, fine-tuning, and prompt engineering
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure)

Nice-to-Have Skills:

  • Experience with LangChain, LlamaIndex, or AutoGen
  • Knowledge of vector databases (Pinecone, Weaviate, etc.)
  • Background in NLP, deep learning, or reinforcement learning
  • Exposure to AI ethics and responsible AI practices

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.