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# AI ML Engineer

- **Company:** Emergere Technologies
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Databases, Computer Literacy, Data Cleansing, JSON, Python (Programming Language), Machine Learning, OpenAI, Cloud Services, Tensorflow, Software Deployment, Software Engineering, YAML, Pinecone, Feature Engineering, Chatbots, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Git, Milvus, Machine Learning Operations, FAISS, Google Gemini, Restful APIs, Artificial Intelligence Markup Language (AIML), Software Version Control
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/27be5e67-fce8-4f96-b2e4-950dbcf3e969

## About the Role

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 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.