AI ML engineer with Agentic AI experience

Hybrid in Plano, TX, US • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract W2
12 Months
25% Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • YAML
  • Artificial Intelligence
  • Cloud Computing
  • Computer Vision
  • Database
  • Design Optimization
  • Evaluation
  • Git
  • Machine Learning Operations (ML Ops)
  • JSON
  • Machine Learning (ML)
  • Microsoft Windows
  • PyTorch
  • Python
  • React.js
  • Reasoning
  • Software Engineering
  • TensorFlow
  • Use Cases
  • Vector Databases
  • Version Control

Summary

Position: AI ML engineer with Agentic AI experience
Experience: 11+ years

Location: Hybrid

Type: Contract

 

Job Profile:

An expert Prompt engineer with a strong software engineering a background and an excellent communicator with 8+ years of experience implementing AI and ML use cases. (Primarily AI)

Knowledge of Computer vision related projects.

LLM Expertise:

  • Must have hands-on experience working with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini),as well as a strong understanding of tokenization, model behaviors, reasoning patterns, and evaluation frameworks.
    • Prompt Design & Optimization (zero-shot, few-shot, chain-of-thought, ReAct, self-consistency)
    • Structured prompt templates
    • Refinement (prompt chaining, decomposition, and verification strategies)
    • Safety, Guardrails & Compliance
  • Experience building conversational flows (chatbots).

Retrieval-Augmented Generation (RAG) :

  • Work with embedding models, vector databases, context windows, and chunking strategies
  • Work experience in Vector database (FAISS, Milvus, Pinecone or any)

Machine Learning:

  • Machine Learning Engineer with strong experience in building, deploying, and optimizing end-to-end ML systems. 
  • Skilled in data preprocessing, feature engineering, model development, and production deployment using modern ML frameworks. 
  • Proficient in Python, PyTorch/ TensorFlow, cloud services, and MLOps practices.

Software Engineering:

  • Python proficiency.
  • Very good understanding and work experience with REST APIs, JSON, YAML.
  • Ability to integrate LLM prompts into production applications.
  • Familiarity with Git, version control, and experiment tracking.
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: 91099596
  • Position Id: 9018512
  • Posted 4 hours ago
Contact the job poster
KK

Kavin Kumar

Recruiter @ Emergere Technologies
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