AI Engineer

Robotics Technologies; Dallas (TX); On-site; USD 89,000 - 126,000; Full time

Benefits offered by this job

Remote opportunities not applicable

Job summary

Robotics Technologies is seeking an AI Engineer to embed with business and engineering teams to deliver AI-led automation and innovation in a defined domain. You will own AI outcomes, build production-ready solutions, and contribute code-first deliverables across AI stack.

Expect hands-on work with GenAI, LLMs, and cloud platforms (AWS/Azure/Google Cloud). The role emphasizes delivery from discovery to pilot deployment and strong collaboration with enterprise systems and APIs.

Qualifications

• 4+ years in AI-led engineering or related roles.
• Hands-on coding in Python, JS/TS, Java, .NET/C#, or Go.
• Proficient in AI tools, data analytics, and cloud platforms.
• Experience with GenAI, LLMs, RAG, and model integration.

Responsibilities

• Own AI outcomes within a defined business domain.
• Build and deliver AI solutions in hands-on execution.
• Turn AI potential into production value with code-first delivery.
• Document architectures and reusable components.
• Pilot and run POCs to validate business value.
• Integrate with enterprise platforms and third-party APIs.

Skills

Python

JavaScript/TypeScript

Java

.NET/C#

Go

GenAI / LLMs

AI workflow automation

Prompt engineering

Model integration

AWS

Azure

Google Cloud

APIs

Databases

Tools

Salesforce

Jira

Rally

Oracle

ServiceNow

Microsoft Dynamics

Job description

This AI Engineer role is embedded with business and engineering teams to deliver AI-led automation and innovation in a defined domain.

Responsibilities

• Work embedded with business and engineering teams to own AI outcomes within a defined business domain
• Build and deliver AI solutions in a hands-on execution capacity, not an advisory-only role
• Turn AI potential into production value using code-first delivery and active contributions to repositories
• Understand business processes, pain points, systems, data flows, and success metrics
• Convert problems into MVPs, integrations, automations, and production-ready solutions with an ownership mindset
• Develop across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies
• Own delivery from discovery through a working solution, using pilots and POCs to rapidly validate business value
• Integrate with enterprise platforms, data systems, workflows, collaboration tools, and third-party APIs
• Document architectures, implementation playbooks, reusable components, and customer-specific solution guides
• Use field learnings to inform product roadmap, accelerators, and go-to-market propositions

Requirements

• 4–8 years of experience in AI-led engineering, implementation, product, consulting, or customer-facing technology roles
• Strong engineering fundamentals with hands-on coding experience in one or more of: Python, JavaScript/TypeScript, Java, .NET/C#, or Go
• AI proficiency is mandatory, with experience demonstrated through hands-on work (software engineering, data science, UX, or related domains may apply)
• Daily AI tool usage with demonstrable code contributions and documented token usage
• Analytical thinking and expertise using data to derive AI solutions for business problems
• Solid understanding of APIs, databases, cloud services, authentication, integrations, and deployment
• Experience with data and analytics platforms
• Comfort working with structured and unstructured data
• Experience with GenAI: LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration, and model training
• Cloud experience with AWS, Azure, or Google Cloud
• Strong communication, adaptability, and problem-solving in ambiguous environments

Technologies

• Python
• JavaScript/TypeScript
• Java
• .NET/C#
• Go
• GenAI, LLMs, RAG, agents
• AI workflow automation, prompt engineering, model integration, model training
• AWS, Azure, Google Cloud
• APIs, databases

Good to Have

• Knowledge of ML algorithms, model building, deployment, deep learning, and NLP
• Experience integrating with Salesforce, Jira, Rally, Oracle, ServiceNow, Microsoft Dynamics, or similar platforms
• Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, analytics, and reporting workflows

Location: Dallas, TX (onsite)

Compensation: USD 78 per hour

Experience: 4+ years