AI Frontline Engineer: Build Production AI Solutions

Robotics Technologies LLC

Dallas (TX)

On-site

USD 91,000 - 124,000

Full time

6 days ago
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Job summary

Robotics Technologies LLC in Dallas, TX is seeking an AI Engineer to join a Forward Deployed Engineering team. You will partner with business units to identify high‑value problems and deliver AI‑led automation with measurable outcomes.

The role blends hands-on engineering, solution design, product thinking, and customer-facing execution, with responsibilities to embed with teams, build production‑ready AI solutions, and scale integrations across enterprise systems.

Qualifications

  • 4–8 years of experience in AI led engineering, implementation, product, consulting, or customer-facing tech roles.
  • AI proficiency is mandatory; candidates may come from software engineering, data science, UX, or related domains with hands-on experience.
  • Experience with GenAI, LLMs, RAG, agents, AI workflow automation, and model training.

Responsibilities

  • Embed with business and engineering teams to own AI outcomes within a defined business domain.
  • Build and deliver AI solutions hands-on; this is an execution role, not an advisory role.
  • Convert AI potential into production value through code-first delivery and active repository contributions.
  • Integrate with enterprise platforms, data systems, workflows, collaboration tools, and third‑party APIs.
  • Document architectures, implementation playbooks, reusable components, and customer‑specific solution guides.

Skills

AI engineering
Data analysis
APIs
Cloud services
Communication
Problem solving

Tools

Salesforce
Jira
Rally
Oracle
ServiceNow
Microsoft Dynamics

Job description

Robotics Technologies LLC in Dallas, TX is seeking an AI Engineer to join a Forward Deployed Engineering team. You will partner with business units to identify high‑value problems and deliver AI‑led automation with measurable outcomes.

The role blends hands-on engineering, solution design, product thinking, and customer-facing execution, with responsibilities to embed with teams, build production‑ready AI solutions, and scale integrations across enterprise systems.

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