AI Engineer – EAI Location: Plano, Texas Onsite
Job in
Plano, Collin County, Texas, 75086, USA
Listed on 2026-08-13
Listing for:
Tech Mirrors
Full Time
position Listed on 2026-08-13
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position:
AIEngineer-EAI
Location:
Plano, Texas Onsite
Experience:
8+ Years
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Position SummaryWe are seeking an experiencedAIEngineer–EAIto join our Business Support team. The ideal candidate will have strong hands-on experience inAIengineering, Generative AI, 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 Generative AI, Large Language Models (LLMs), agent frameworks, and multimodalAIsystems.
- Evaluate emergingAItools, frameworks, and APIs including ChatGPT, Git Hub Copilot, Lang Chain, Lang Smith, 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, prompt engineering, 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.
- Engineering Collaboration
- 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.
- 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.
- Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).
- 5+ years of experience inAIEngineering, Research Engineering, Machine Learning Prototyping, or related roles.
- Strong programming experience with Python.
- Hands-on experience with Tensor Flow and PyTorch.
- Experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Lang Chain, Lang Smith, CrewAI, Vector Databases, and modern GenerativeAIframeworks.
- Experience building Proof of Concepts (POCs), prototypes, and experimentalAIapplications.
- Experience working with OpenAI, Anthropic, Hugging Face, AzureAI, AWS Bedrock, and relatedAIecosystems.
- Familiarity with Git Hub Copilot, GPT-based coding assistants, and MLOps workflows.
- Experience with model evaluation frameworks, API integrations, parameter tuning, and model experimentation.
- 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.
- Experience with Fine-Tuning, LoRA, or Custom Model Training.
- Experience with AgenticAISystems, Automation Frameworks, and Workflow Orchestration.
- Contributions to Open SourceAIprojects or publishedAIresearch.
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