Senior AI Engineer — Prototyping GenAI & LLM Systems

Robotic Technologies Automation; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Robotic Technologies Automation seeks an experienced AI engineer to lead prototyping and research-driven development. The role requires 12+ years in IT and 5+ years in AI engineering, ML prototyping, or similar tasks, with strong Python fluency and experience with frameworks like TensorFlow and PyTorch.

You will work with OpenAI, Anthropic, and HuggingFace ecosystems, build rapid prototypes, and translate research concepts into scalable solutions while documenting progress for diverse audiences.

Qualifications

• Bachelor’s degree (or equivalent) in Computer Science, AI, Data Science, or related field.
• Minimum 12 years of IT experience.
• 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.

Responsibilities

• Build rapid prototypes and POCs for AI-driven solutions.
• Translate cutting-edge research concepts into practical technical implementations.
• Collaborate across teams to integrate AI systems with existing platforms.
• Document architectures, experiments, and results for technical and non-technical audiences.

Skills

Python

TensorFlow

PyTorch

LangChain

LLMs

Education

Bachelor's degree

Tools

GitHub Copilot

LangSmith

CrewAI

Vector DBs

OpenAI

Anthropic

HuggingFace

Job description

Robotic Technologies Automation seeks an experienced AI engineer to lead prototyping and research-driven development. The role requires 12+ years in IT and 5+ years in AI engineering, ML prototyping, or similar tasks, with strong Python fluency and experience with frameworks like TensorFlow and PyTorch.

You will work with OpenAI, Anthropic, and HuggingFace ecosystems, build rapid prototypes, and translate research concepts into scalable solutions while documenting progress for diverse audiences.