Haystack
← Back to Jobs
Technology
ET

AI/Ml Engineeer ( Agentic AI)

Emergere TechnologiesPlano, TX🇺🇸United StatesPosted Sep 23, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Plano, TX, United States
Posted
2 weeks ago
MLOpsMachine LearningComputer VisionGitLLMPyTorchPythonRESTReactTensorFlow

Job Description

Position: AI ML engineer with Agentic AI experience

Location: Plano, TX – Onsite

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.

Similar jobs