AI Engineer

Robotics Technologies is seeking an AI Engineer to operate as a Forward Deployed Engineer embedded with business teams. This is a hands-on role focused on finding high-value problems and delivering AI-led automation and innovation within a defined business domain, from solution architecture through customer-facing execution.

Responsibilities

• Embed with business and engineering teams to own AI outcomes in a defined business domain.
• Build and deliver AI solutions through hands-on execution, functioning as an implementation role rather than an advisory role.
• Convert AI potential into production value via code-first delivery and active contributions to repositories.
• Understand business processes, pain points, systems, data flows, and success metrics.
• Translate problems into MVPs, integrations, automations, and production-ready solutions using an ownership mindset.
• Develop across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.
• Own the journey from discovery to a working solution, rapidly validating business value through pilots and POCs.
• 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 roadmaps, 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 Python, JavaScript/TypeScript, Java, .NET/C#, or Go.
• AI proficiency is mandatory; candidates may come from software engineering, data science, UX, or related domains with proven hands-on experience.
• Daily use of AI tools, with demonstrable code contributions and documented token usage.
• Analytical thinking and expertise in using data to derive AI solutions that address business problems.
• Knowledge of APIs, databases, cloud services, authentication, integrations, and deployment.
• Experience working with data and analytics platforms.
• Comfort with both structured and unstructured data.
• Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration, and model training.
• Cloud experience across AWS, Azure, or Google Cloud.
• Good communication, adaptability, and problem-solving ability 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.

Role Details

• Location: Dallas, TX (onsite)
• Salary: USD 78 per hour
• Minimum Experience: 4 years