{"schemaVersion":"jobsearcher.job.v1","id":"ba6dc30c2ba1ca01e5e89007","url":"https://jobsearcher.com/jobs/ba6dc30c2ba1ca01e5e89007","canonicalUrl":"https://jobsearcher.com/jobs/ba6dc30c2ba1ca01e5e89007","title":"GenAI - EAI Engineer","description":"Position: Senior AI Engineer – EAI\nLocation: Plano, Texas Onsite\nExperience: 10+ Years\nNO Fake candidates\nPosition Summary\nWe are seeking an experienced AI Engineer – EAI to join our Business Support team. The ideal candidate will have strong hands-on experience in AI engineering, Generative AI, LLMs, agent frameworks, rapid prototyping, and AI research. This role involves researching emerging AI technologies, building proof-of-concept solutions, developing GenAI workflows and agentic systems, evaluating AI models and frameworks, and collaborating with engineering teams to transition prototypes into scalable production-ready solutions.\nKey Responsibilities\nAI Research & Emerging Technology Exploration\nResearch advancements in AI/ML with a focus on Generative AI, Large Language Models (LLMs), agent frameworks, and multimodal AI systems.\nEvaluate emerging AI tools, frameworks, and APIs including ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector databases, RAG frameworks, orchestration tools, and model hosting platforms.\nIdentify opportunities to leverage AI technologies to solve business challenges and improve operational efficiency.\nRapid Prototyping & AI Development\nBuild rapid prototypes using Python, AI SDKs, and model APIs.\nDevelop proof-of-concept solutions and experimental AI applications.\nDesign, develop, test, and iterate AI workflows, agentic systems, retrieval-augmented generation (RAG) applications, and AI pipelines.\nTechnical Experimentation & Evaluation\nConduct model benchmarking, evaluation, prompt engineering, and fine-tuning experiments.\nCompare AI models, frameworks, and architectures to determine the most effective solutions.\nDocument experiments, performance metrics, technical findings, reproducible code samples, and recommendations.\nEngineering Collaboration\nWork closely with engineering teams to transition prototypes into scalable production solutions.\nProvide recommendations related to architecture, infrastructure, model deployment, and operationalization.\nCollaborate with product managers, business stakeholders, and data scientists to align AI initiatives with business objectives.\nInnovation & Knowledge Sharing\nStay current with industry trends, academic research, open-source AI developments, and emerging technologies.\nPresent technical findings, demonstrations, and recommendations to leadership and stakeholders.\nPromote AI innovation through workshops, technical documentation, and knowledge-sharing sessions.\nRequired Skills & Experience\nAI Engineering & Research\nBachelor's Degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).\n5+ years of experience in AI Engineering, Research Engineering, Machine Learning Prototyping, or related roles.\nStrong programming experience with Python.\nHands-on experience with TensorFlow and PyTorch.\nExperience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, LangSmith, CrewAI, Vector Databases, and modern Generative AI frameworks.\nExperience building Proof of Concepts (POCs), prototypes, and experimental AI applications.\nAI Platforms & Tools\nExperience working with OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, and related AI ecosystems.\nFamiliarity with GitHub Copilot, GPT-based coding assistants, and MLOps workflows.\nExperience with model evaluation frameworks, API integrations, parameter tuning, and model experimentation.\nSoft Skills\nStrong analytical and problem-solving abilities.\nExcellent communication and technical documentation skills.\nAbility to translate advanced AI research into practical business solutions.\nSelf-driven mindset with a passion for experimentation, continuous learning, and innovation.\nAbility to manage multiple prototypes, research initiatives, and rapidly evolving technologies.\nPreferred Skills\nExperience with Fine-Tuning, LoRA, or Custom Model Training.\nExperience with Agentic AI Systems, Automation Frameworks, and Workflow Orchestration.\nContributions to Open Source AI projects or published AI research.\nAI/ML or Cloud AI certifications.\nTechnologies & Tools\nPython, TensorFlow, PyTorch, OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, ChatGPT, GitHub Copilot, GPT-based Coding Assistants, LangChain, LangSmith, CrewAI, RAG, Vector Databases, Agent Frameworks, Multimodal Models, AI SDKs, Model APIs, MLOps, Prompt Engineering, Fine-Tuning, LoRA, Workflow Orchestration, Evaluation Frameworks, AI Research, POC Development, Prototype Development.\nPay: $102,539.92 - $123,488.94 per year\nWork Location: In person","company":"Broadmind","rawCompany":"broadmind","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-03T19:35:00.526Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GenAI - EAI Engineer","description":"Position: Senior AI Engineer – EAI\nLocation: Plano, Texas Onsite\nExperience: 10+ Years\nNO Fake candidates\nPosition Summary\nWe are seeking an experienced AI Engineer – EAI to join our Business Support team. The ideal candidate will have strong hands-on experience in AI engineering, Generative AI, LLMs, agent frameworks, rapid prototyping, and AI research. This role involves researching emerging AI technologies, building proof-of-concept solutions, developing GenAI workflows and agentic systems, evaluating AI models and frameworks, and collaborating with engineering teams to transition prototypes into scalable production-ready solutions.\nKey Responsibilities\nAI Research & Emerging Technology Exploration\nResearch advancements in AI/ML with a focus on Generative AI, Large Language Models (LLMs), agent frameworks, and multimodal AI systems.\nEvaluate emerging AI tools, frameworks, and APIs including ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector databases, RAG frameworks, orchestration tools, and model hosting platforms.\nIdentify opportunities to leverage AI technologies to solve business challenges and improve operational efficiency.\nRapid Prototyping & AI Development\nBuild rapid prototypes using Python, AI SDKs, and model APIs.\nDevelop proof-of-concept solutions and experimental AI applications.\nDesign, develop, test, and iterate AI workflows, agentic systems, retrieval-augmented generation (RAG) applications, and AI pipelines.\nTechnical Experimentation & Evaluation\nConduct model benchmarking, evaluation, prompt engineering, and fine-tuning experiments.\nCompare AI models, frameworks, and architectures to determine the most effective solutions.\nDocument experiments, performance metrics, technical findings, reproducible code samples, and recommendations.\nEngineering Collaboration\nWork closely with engineering teams to transition prototypes into scalable production solutions.\nProvide recommendations related to architecture, infrastructure, model deployment, and operationalization.\nCollaborate with product managers, business stakeholders, and data scientists to align AI initiatives with business objectives.\nInnovation & Knowledge Sharing\nStay current with industry trends, academic research, open-source AI developments, and emerging technologies.\nPresent technical findings, demonstrations, and recommendations to leadership and stakeholders.\nPromote AI innovation through workshops, technical documentation, and knowledge-sharing sessions.\nRequired Skills & Experience\nAI Engineering & Research\nBachelor's Degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).\n5+ years of experience in AI Engineering, Research Engineering, Machine Learning Prototyping, or related roles.\nStrong programming experience with Python.\nHands-on experience with TensorFlow and PyTorch.\nExperience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, LangSmith, CrewAI, Vector Databases, and modern Generative AI frameworks.\nExperience building Proof of Concepts (POCs), prototypes, and experimental AI applications.\nAI Platforms & Tools\nExperience working with OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, and related AI ecosystems.\nFamiliarity with GitHub Copilot, GPT-based coding assistants, and MLOps workflows.\nExperience with model evaluation frameworks, API integrations, parameter tuning, and model experimentation.\nSoft Skills\nStrong analytical and problem-solving abilities.\nExcellent communication and technical documentation skills.\nAbility to translate advanced AI research into practical business solutions.\nSelf-driven mindset with a passion for experimentation, continuous learning, and innovation.\nAbility to manage multiple prototypes, research initiatives, and rapidly evolving technologies.\nPreferred Skills\nExperience with Fine-Tuning, LoRA, or Custom Model Training.\nExperience with Agentic AI Systems, Automation Frameworks, and Workflow Orchestration.\nContributions to Open Source AI projects or published AI research.\nAI/ML or Cloud AI certifications.\nTechnologies & Tools\nPython, TensorFlow, PyTorch, OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, ChatGPT, GitHub Copilot, GPT-based Coding Assistants, LangChain, LangSmith, CrewAI, RAG, Vector Databases, Agent Frameworks, Multimodal Models, AI SDKs, Model APIs, MLOps, Prompt Engineering, Fine-Tuning, LoRA, Workflow Orchestration, Evaluation Frameworks, AI Research, POC Development, Prototype Development.\nPay: $102,539.92 - $123,488.94 per year\nWork Location: In person","datePosted":"2026-08-03T19:35:00.526Z","dateModified":"2026-08-03T19:35:00.526Z","hiringOrganization":{"@type":"Organization","name":"Broadmind","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ba6dc30c2ba1ca01e5e89007"},"url":"https://jobsearcher.com/jobs/ba6dc30c2ba1ca01e5e89007"}}