AI engineer

Robotics Technologies LLC
Houston, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Houston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Computer Programming
Programming Tools
Python
Open Source Technology
Performance Tuning
TensorFlow
Workflow Management Systems
GitHub Copilot
PyTorch
Large Language Models
Prompt Engineering
Generative AI
AI Platforms
Information Technology
HuggingFace
Machine Learning Operations
GPT
Api Management

Requirements

Do you have experience in Tooling?, Do you have a Bachelor's degree?, * Bachelor's degree (or equivalent experience) in Computer Science, AI, Data Science, or a related technical 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.
  • 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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