AI engineer

Robotics Technologies; Dallas (TX); On-site; USD 55,000 - 96,000; Full time

Job summary

Robotics Technologies is hiring an AI Engineer for an onsite role in Dallas, TX. The position blends research and evaluation with hands-on cloud architecture to deploy prototypes and scalable solutions. You will lead AI/ML R&D, validate performance and safety, and collaborate across teams to drive productization.

The ideal candidate has deep Python skills, extensive LLM tooling knowledge, and cloud experience with AWS and GCP. This role requires strong collaboration with AI business partners.

Qualifications

• Proficient in Python with API and ML framework experience.
• Strong experience with LLMs, embeddings and vector databases.
• Ability to build and manage API integrations.
• Solid cloud experience with AWS and GCP.

Responsibilities

• Lead R&D on AI/ML technologies and architectures.
• Deploy AI/LLM and agentic applications for demos and production.
• Explore traditional AI, Gen AI and Agentic AI techniques.
• Evangelize emerging AI technologies internally.
• Evaluate third-party AI solutions for value and scalability.
• Prototype solutions guiding future productization.
• Collaborate on data preparation and synthetic data generation.
• Validate model performance, safety and readiness.
• Contribute to AI system architecture and cloud workflows.
• Collaborate with AI Business Partners throughout development.

Skills

Python

APIs

ML frameworks

AI tooling

LLMs

Embeddings

Vector databases

API integrations

Prompt Engineering

Model Evaluation & Design

AI Architecture Design

Data preparation

Synthetic data

AWS

GCP

Tools

GitHub Copilot

Codex

Claude Code

LangChain

MS Copilot

Job description

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)