Senior AI Engineer

Robotics Technologies; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Robotics Technologies in Plano, TX is seeking a Senior AI Engineer to productionize LLM-based systems, connect them to enterprise data, and deliver reliable backend services that integrate with cloud and business workflows.

The role focuses on building Generative AI applications, agent orchestration with LangGraph, and production RAG pipelines, leveraging Python, FastAPI, and containerization for scalable deployment.

Qualifications

• Productionize LLM-based systems and agents in enterprise environments.
• Design, develop, and deploy Generative AI applications with Python.
• Build scalable backend services and APIs using FastAPI and containerization.

Responsibilities

• Collaborate with data engineering and business teams to deliver end-to-end AI solutions.
• Connect AI applications to enterprise data and cloud services (Azure).
• Develop and manage ETL pipelines and data processing workflows.

Skills

LLMs

Python

LangGraph

FastAPI

Azure

Databricks

Docker

Kubernetes

GitHub Copilot

Tools

Snowflake

MongoDB

Databricks

Job description

Robotics Technologies in Plano, TX (onsite) is building scalable Generative AI and agent-based platforms. As a Senior AI Engineer, you will help productionize LLM-based systems, connect them to enterprise data, and deliver reliable backend services that integrate with cloud and business workflows.

What you’ll build

• Design, develop, and deploy Generative AI applications using LLMs and Python.
• Create agent-based AI systems using LangGraph and similar frameworks.
• Develop RAG pipelines using embedding models, vector databases, and information extraction techniques.
• Implement prompt engineering, LLM evaluation, and model performance optimization.
• Build scalable backend services and APIs with Python and FastAPI.
• Integrate AI applications with Azure cloud services and enterprise systems.
• Work with Snowflake, MongoDB, and other database technologies.
• Develop and manage ETL pipelines and large-scale data processing workflows.
• Use Databricks notebooks, clusters, and workflow orchestration.
• Containerize and deploy applications using Docker and Kubernetes / AKS.
• Develop using GitHub, Git workflows, and GitHub Copilot.

How you’ll work with others

You’ll collaborate with data engineering and business teams to deliver end-to-end AI solutions, from pipeline development through deployment and integration with existing enterprise systems.

Core focus

This role centers on hands‑on software engineering for Generative AI, combining LLM application development, agent orchestration with LangGraph, and production RAG pipelines supported by embeddings and vector databases.

Technology toolkit

Common technologies in this role include Generative AI, LLMs, Python, LangGraph, FastAPI, RAG, vector databases, Azure cloud technologies, Snowflake, MongoDB, Databricks, Docker, Kubernetes, AKS, GitHub, GitHub Copilot, and ETL.