AI/Ml Engineeer ( Agentic AI)

Emergere Technologies; Plano (TX); On-site; USD 96,000 - 165,000; Part time

Job summary

Emergere Technologies in Plano, TX is seeking an AI/ML engineer with Agentic AI experience for a contract role onsite. You will drive end-to-end ML systems, design advanced prompts, and build conversational AI capabilities for real-world applications.

The ideal candidate has 8 years of experience, strong software background, and hands-on expertise with modern LLMs, RAG, and vector databases, with focus on production-ready solutions using Python and ML frameworks.

Qualifications

• Expert prompt engineer with a strong software background and 8 years of AI/ML experience.
• Knowledge of computer vision related projects.
• Hands-on experience with modern LLMs (OpenAI, Anthropic, LLaMA, Mistral, Gemini) and tokenization concepts.
• Experience with retrieval-augmented generation and vector databases.
• Proficient in Python, PyTorch/TensorFlow, cloud services, and MLOps practices.
• Experience building conversational flows (chatbots).
• Familiar with REST APIs, JSON, YAML, and production integration of LLM prompts.
• Safety, guardrails, and compliance awareness.

Responsibilities

• Develop and deploy end-to-end ML systems and AI workflows.
• Design and optimize LLM prompts and workflows for production use.
• Build and refine conversational flows and chatbots.
• Work with embedding models, vector databases, and RAG strategies.
• Ensure safety, guardrails, and compliance in AI systems.

Skills

Prompt engineering

Software engineering

Communication

AI/ML use cases

Computer vision

LLM expertise

RAG workflows

Model evaluation

Tokenization knowledge

Python

Tools

FAISS

Milvus

Pinecone

OpenAI

Anthropic

LLaMA

Mistral

Gemini

PyTorch

TensorFlow

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.