AI engineer

Robotics Technologies is hiring an AI Engineer for an onsite role in Dallas, TX focused on turning AI/ML and LLM or agentic ideas into working prototypes and deployable solutions. The work blends research and evaluation with hands-on cloud-based architecture and workflows, including validating performance, safety, and operational readiness.

What you’ll do

• Lead R&D on AI/ML technologies and architectures, applying the right approach for the use case.
• Deploy AI/LLM and agentic applications to support proof-of-concept demonstrations, then help scale successful efforts toward production.
• Explore and implement traditional AI, Gen AI, and Agentic AI techniques.
• Keep up with evolving AI trends and evangelize emerging technologies internally.
• Evaluate and pilot third-party AI solutions to assess scalability and business value.
• Prototype solutions to guide future productization.
• Collaborate on data preparation and synthetic data generation strategies.
• Validate model performance, safety, and operational readiness.
• Contribute to AI system architecture and manage cloud workflows.
• Collaborate with AI Business Partners throughout development and delivery.

Skills and requirements

• Python, plus experience using APIs, ML frameworks, and AI tooling.
• Familiarity with AI tools such as GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, and MS Copilot.
• Experience with LLMs including OpenAI GPTs, Google AI, and Claude.
• Experience working with embeddings and vector databases.
• Ability to build and manage API integrations.
• Core competencies in Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
• Knowledge of data preparation and generation, including synthetic data approaches.
• Cloud experience with AWS and GCP.

Role details

• Location: Dallas, TX (onsite)
• Duration: 12 Months + Extension
• Pay: Hourly rate depending on experience (DOE)
• Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Employment type: W-2, 1099, C2C
• Job ID: J53169
• Client: To Be Discussed Later