R
Senior AI Engineer
Robotics Technologies
3 hours ago
Full-time
On-site
Plano, Texas, United States
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 .
#J-18808-Ljbffr
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 .
#J-18808-Ljbffr