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AI ML engineer with Agentic AI experience - Plano, TX - Hybrid - Looking for Visa independent candidate
Emergere TechnologiesPlano, TX🇺🇸United StatesPosted 14 Jul 2026
Why This Role Stands Out
This hybrid role offers an exciting opportunity to leverage your expertise in Agentic AI and LLMs to drive innovation at Emergere Technologies, a reputable company known for its cutting-edge projects. If you are a seasoned AI/ML engineer with a passion for prompt engineering and a proven track record in implementing advanced AI use cases, you will thrive in this dynamic environment.
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Position: AI ML engineer with Agentic AI experience
Location: Plano, TX - 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.
Skills
MLOps
Machine Learning
Computer Vision
Git
LLM
PyTorch
Python
REST
React
TensorFlow
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