Position: Senior AI Engineer – EAI
Location: Plano, Texas Onsite
Experience: 10+ Years
NO Fake candidates
Position Summary
We 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.
Key Responsibilities
AI Research & Emerging Technology Exploration
Research advancements in AI/ML with a focus on Generative AI, Large Language Models (LLMs), agent frameworks, and multimodal AI systems.
Evaluate emerging AI tools, frameworks, and APIs including ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector databases, RAG frameworks, orchestration tools, and model hosting platforms.
Identify opportunities to leverage AI technologies to solve business challenges and improve operational efficiency.
Rapid Prototyping & AI Development
Build rapid prototypes using Python, AI SDKs, and model APIs.
Develop proof-of-concept solutions and experimental AI applications.
Design, develop, test, and iterate AI workflows, agentic systems, retrieval-augmented generation (RAG) applications, and AI pipelines.
Technical Experimentation & Evaluation
Conduct model benchmarking, evaluation, prompt engineering, and fine-tuning experiments.
Compare AI models, frameworks, and architectures to determine the most effective solutions.
Document experiments, performance metrics, technical findings, reproducible code samples, and recommendations.
Engineering Collaboration
Work closely with engineering teams 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 align AI initiatives with business objectives.
Innovation & Knowledge Sharing
Stay current with industry trends, academic research, open-source AI developments, and emerging technologies.
Present technical findings, demonstrations, and recommendations to leadership and stakeholders.
Promote AI innovation through workshops, technical documentation, and knowledge-sharing sessions.
Required Skills & Experience
AI Engineering & Research
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).
5+ years of experience in AI Engineering, Research Engineering, Machine Learning Prototyping, or related roles.
Strong programming experience with Python.
Hands-on experience with TensorFlow and PyTorch.
Experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, LangSmith, CrewAI, Vector Databases, and modern Generative AI frameworks.
Experience building Proof of Concepts (POCs), prototypes, and experimental AI applications.
AI Platforms & Tools
Experience working with OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, and related AI ecosystems.
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 advanced AI research 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 Agentic AI Systems, Automation Frameworks, and Workflow Orchestration.
Contributions to Open Source AI projects or published AI research.
AI/ML or Cloud AI certifications.
Technologies & Tools
Python, 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.
Pay: $102,539.92 - $123,488.94 per year
Work Location: In person
