AI Engineer – EAI Location: Plano, Texas Onsite

Tech Mirrors; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Tech Mirrors is seeking an experienced AI Engineer to join its Business Support team in Plano, onsite. The role emphasizes hands-on AI engineering, GenAI workflows, and rapid prototyping with LLMs.

The candidate will research emerging AI technologies, evaluate tools and models, build proof-of-concept solutions, and collaborate with engineering to scale prototypes into production-ready solutions.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, or related field.
• 5+ years in AI engineering, research, or prototyping.
• Strong Python programming experience.
• Hands-on TensorFlow and PyTorch experience.
• Experience with LLMs, prompt engineering, RAG, LangChain/LangSmith, and modern generative AI frameworks.
• Experience building PoCs, prototypes, and experimental AI applications.

Responsibilities

• Research AI/ML trends focusing on Generative AI, LLMs, and agent frameworks.
• Build rapid prototypes using Python, AI SDKs, and model APIs.
• Develop GenAI workflows, agentic systems, and retrieval-augmented generation apps.
• Conduct model benchmarking, prompt engineering, and fine-tuning experiments.
• Collaborate with engineering to productionize prototypes and propose scalable architectures.
• Document experiments, results, and recommendations for leadership.

Skills

Analytical thinking

Communication

Self-driven

Translate research to business

Python programming

Education

Bachelor's degree in Computer Science, AI, Data Science or related field

Tools

TensorFlow

PyTorch

LangChain

LangSmith

CrewAI

Vector Databases

RAG frameworks

OpenAI

Anthropic

Hugging Face

Azure AI

AWS Bedrock

GitHub Copilot

Job description

Position:AIEngineer-EAI
Location: Plano, Texas Onsite
Experience: 8+ Years

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Position Summary

We are seeking an experiencedAIEngineer–EAIto join our Business Support team. The ideal candidate will have strong hands-on experience inAIengineering, GenerativeAI, LLMs, agent frameworks, rapid prototyping, andAIresearch. This role involves researching emergingAItechnologies, building proof-of-concept solutions, developing GenAI workflows and agentic systems, evaluatingAImodels and frameworks, and collaborating withengineeringteams to transition prototypes into scalable production-ready solutions.

Key Responsibilities

• AIResearch & Emerging Technology Exploration
• Research advancements inAI/ML with a focus on GenerativeAI, Large Language Models (LLMs), agent frameworks, and multimodalAIsystems.
• Evaluate emergingAItools, frameworks, and APIs including ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector databases, RAG frameworks, orchestration tools, and model hosting platforms.
• Identify opportunities to leverageAItechnologies to solve business challenges and improve operational efficiency.
• Rapid Prototyping &AIDevelopment
• Build rapid prototypes using Python,AISDKs, and model APIs.
• Develop proof-of-concept solutions and experimentalAIapplications.
• Design, develop, test, and iterateAIworkflows, agentic systems, retrieval-augmented generation (RAG) applications, andAIpipelines.
• Technical Experimentation & Evaluation
• Conduct model benchmarking, evaluation, promptengineering, and fine-tuning experiments.
• CompareAImodels, frameworks, and architectures to determine the most effective solutions.
• Document experiments, performance metrics, technical findings, reproducible code samples, and recommendations.
• EngineeringCollaboration
• Work closely withengineeringteams to transition prototypes into scalable production solutions.
• Provide recommendations related to architecture, infrastructure, model deployment, and operationalization.
• Collaborate with product managers, business stakeholders, and data scientists to alignAIinitiatives with business objectives.

Innovation & Knowledge Sharing

• Stay current with industry trends, academic research, open-sourceAIdevelopments, and emerging technologies.
• Present technical findings, demonstrations, and recommendations to leadership and stakeholders.
• PromoteAIinnovation through workshops, technical documentation, and knowledge-sharing sessions.

Required Skills & Experience

AIEngineering & Research

• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).
• 5+ years of experience inAIEngineering, ResearchEngineering, Machine Learning Prototyping, or related roles.
• Strong programming experience with Python.
• Hands-on experience with TensorFlow and PyTorch.
• Experience with Large Language Models (LLMs), PromptEngineering, Retrieval-Augmented Generation (RAG), LangChain, LangSmith, CrewAI, Vector Databases, and modern GenerativeAIframeworks.
• Experience building Proof of Concepts (POCs), prototypes, and experimentalAIapplications.

AIPlatforms & Tools

• Experience working with OpenAI, Anthropic, Hugging Face, AzureAI, AWS Bedrock, and relatedAIecosystems.
• Familiarity with GitHub Copilot, GPT-based coding assistants, and MLOps workflows.
• Experience with model evaluation frameworks, API integrations, parameter tuning, and model experimentation.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and technical documentation skills.
• Ability to translate advancedAIresearch into practical business solutions.
• Self-driven mindset with a passion for experimentation, continuous learning, and innovation.
• Ability to manage multiple prototypes, research initiatives, and rapidly evolving technologies.

Preferred Skills

• Experience with Fine-Tuning, LoRA, or Custom Model Training.
• Experience with AgenticAISystems, Automation Frameworks, and Workflow Orchestration.
• Contributions to Open SourceAIprojects or publishedAIresearch.