| AI Engineer Location: Plano Texas Description We are seeking a highly motivated and deeply technical AI Engineer.
This role is ideal for someone passionate about emerging AI technologies rapid prototyping and transforming cutting-edge ideas into real solutions that accelerate AI adoption across our clients operations. Reporting to the Manager AI Product Research this individual will explore new advancements in Generative AI build hands-on proofs of concept and collaborate closely with engineering teams to transition prototypes into scalable production systems. What Youll Be Doing AI Research & Emerging-Tech Exploration - Continuously research advancements in AI/ML with a strong focus on Generative AI LLM architectures agent frameworks and multimodal models.
- Evaluate emerging tools frameworks and APIs such as ChatGPT GitHub Copilot LangChain LangSmith CrewAI vector DBs RAG frameworks orchestration tools and model hosting platforms.
- Identify opportunities where new AI capabilities can solve business problems or streamline clients operations.
Rapid Prototyping & Hands-On Development - Build rapid functional prototypes with a strong hands-on coding approach using Python modern AI SDKs and model APIs.
- Develop experimental features and concepts that validate feasibility before engineering teams take them to production.
- Design test and iterate on AI workflows pipelines agentic systems and retrieval-augmented applications.
Technical Experimentation & Evaluation - Conduct benchmarking model evaluation prompt engineering and fine-tuning experiments to assess performance.
- Compare models frameworks and architectures to recommend best-fit technologies for production teams.
- Document findings with clarity experiment logs model performance summaries reproducible code samples and technical write-ups.
Collaboration With Engineering & Stakeholders - Work hand-in-hand with engineering teams to transition prototypes into scalable production-ready systems.
- Translate experimental results into actionable recommendations for architecture infrastructure and model deployment.
- Engage with product managers business partners and data scientists to align prototypes with real-world needs.
Thought Leadership & Knowledge Sharing - Track market activity academic research open-source contributions and competitor innovation trends.
- Present insights demos and proposals to technical leadership and stakeholders.
- Foster a culture of AI innovation through workshops documentation and internal knowledge sharing.
Requirements What You Bring Technical & Research Expertise - Bachelors degree (or equivalent experience) in Computer Science AI Data Science or a related technical field.
- 5 years of hands-on experience in AI engineering research engineering ML prototyping or similar roles.
- Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow PyTorch).
- Practical experience with LLMs prompt engineering RAG systems LangChain LangSmith CrewAI vector databases and other modern GenAI tools.
- Experience building rapid prototypes POCs and experimental AI applications.
Applied AI & Tooling Knowledge - Deep understanding of AI ecosystems such as OpenAI Anthropic Hugging Face Azure AI AWS Bedrock etc.
- Familiarity with developer tools like GitHub Copilot GPT-based coding assistants and modern MLOps workflows.
- Comfort exploring model internals parameter tuning API integrations and evaluation frameworks.
Soft Skills & Collaboration - Strong ability to translate cutting-edge research concepts into practical technical solutions.
- Excellent communication and documentation skills for both technical and non-technical audiences.
- Curiosity-driven mindset and commitment to daily research experimentation and continuous learning.
- Ability to manage multiple research tracks prototypes and fast-moving developments.
Added Bonus if You Have - Experience with fine-tuning LoRA or custom model training.
- Background in agentic AI systems automation frameworks and workflow orchestration.
- Prior experience publishing research insights or contributing to open-source AI projects.
- Certifications in advanced AI/ML topics or cloud AI platforms.
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AI Engineer Location: Plano Texas Description We are seeking a highly motivated and deeply technical AI Engineer. This role is ideal for someone passionate about emerging AI technologies rapid prototyping and transforming cutting-edge ideas into real solutions that accelerate AI adoption across...
| AI Engineer Location: Plano Texas Description We are seeking a highly motivated and deeply technical AI Engineer.
This role is ideal for someone passionate about emerging AI technologies rapid prototyping and transforming cutting-edge ideas into real solutions that accelerate AI adoption across our clients operations. Reporting to the Manager AI Product Research this individual will explore new advancements in Generative AI build hands-on proofs of concept and collaborate closely with engineering teams to transition prototypes into scalable production systems. What Youll Be Doing AI Research & Emerging-Tech Exploration - Continuously research advancements in AI/ML with a strong focus on Generative AI LLM architectures agent frameworks and multimodal models.
- Evaluate emerging tools frameworks and APIs such as ChatGPT GitHub Copilot LangChain LangSmith CrewAI vector DBs RAG frameworks orchestration tools and model hosting platforms.
- Identify opportunities where new AI capabilities can solve business problems or streamline clients operations.
Rapid Prototyping & Hands-On Development - Build rapid functional prototypes with a strong hands-on coding approach using Python modern AI SDKs and model APIs.
- Develop experimental features and concepts that validate feasibility before engineering teams take them to production.
- Design test and iterate on AI workflows pipelines agentic systems and retrieval-augmented applications.
Technical Experimentation & Evaluation - Conduct benchmarking model evaluation prompt engineering and fine-tuning experiments to assess performance.
- Compare models frameworks and architectures to recommend best-fit technologies for production teams.
- Document findings with clarity experiment logs model performance summaries reproducible code samples and technical write-ups.
Collaboration With Engineering & Stakeholders - Work hand-in-hand with engineering teams to transition prototypes into scalable production-ready systems.
- Translate experimental results into actionable recommendations for architecture infrastructure and model deployment.
- Engage with product managers business partners and data scientists to align prototypes with real-world needs.
Thought Leadership & Knowledge Sharing - Track market activity academic research open-source contributions and competitor innovation trends.
- Present insights demos and proposals to technical leadership and stakeholders.
- Foster a culture of AI innovation through workshops documentation and internal knowledge sharing.
Requirements What You Bring Technical & Research Expertise - Bachelors degree (or equivalent experience) in Computer Science AI Data Science or a related technical field.
- 5 years of hands-on experience in AI engineering research engineering ML prototyping or similar roles.
- Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow PyTorch).
- Practical experience with LLMs prompt engineering RAG systems LangChain LangSmith CrewAI vector databases and other modern GenAI tools.
- Experience building rapid prototypes POCs and experimental AI applications.
Applied AI & Tooling Knowledge - Deep understanding of AI ecosystems such as OpenAI Anthropic Hugging Face Azure AI AWS Bedrock etc.
- Familiarity with developer tools like GitHub Copilot GPT-based coding assistants and modern MLOps workflows.
- Comfort exploring model internals parameter tuning API integrations and evaluation frameworks.
Soft Skills & Collaboration - Strong ability to translate cutting-edge research concepts into practical technical solutions.
- Excellent communication and documentation skills for both technical and non-technical audiences.
- Curiosity-driven mindset and commitment to daily research experimentation and continuous learning.
- Ability to manage multiple research tracks prototypes and fast-moving developments.
Added Bonus if You Have - Experience with fine-tuning LoRA or custom model training.
- Background in agentic AI systems automation frameworks and workflow orchestration.
- Prior experience publishing research insights or contributing to open-source AI projects.
- Certifications in advanced AI/ML topics or cloud AI platforms.
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5 hours ago
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