R
Gen AI Engineer
Robotics Technologies
5 hours ago
Full-time
On-site
Dallas, Texas, United States
Robotics Technologies is seeking an experienced GenAI Engineer to design, build, and deploy generative AI applications leveraging LLMs and RAG.
Responsibilities
Design and develop generative AI applications using
LLMs
Build and implement
Retrieval-Augmented Generation (RAG)
pipelines for enterprise use cases
Create
prompt engineering
strategies and optimize LLM responses
Integrate
OpenAI ,
Azure OpenAI , or other
foundation models
into application workflows
Work with
vector databases
for document storage and
semantic search
Develop
AI agents
and automated workflows
Build and integrate
REST APIs
and scalable AI services
Evaluate, monitor, and optimize
model performance
Requirements
Experience designing and developing GenAI applications using
LLMs
Experience building
RAG
pipelines for enterprise use cases
Proficiency with
prompt engineering
to improve LLM output quality
Experience integrating
OpenAI ,
Azure OpenAI , or other
foundation models
Hands-on experience with
vector databases
for document storage and semantic search
Experience developing
AI agents
and automated workflows
Experience building and integrating
REST APIs
and scalable AI services
Ability to evaluate, monitor, and optimize
model performance
Technologies
LLMs
Retrieval-Augmented Generation (RAG)
OpenAI
Azure OpenAI
Vector databases
REST APIs
Foundation models
Prompt engineering
Location:
Dallas, TX (onsite)
#J-18808-Ljbffr
Responsibilities
Design and develop generative AI applications using
LLMs
Build and implement
Retrieval-Augmented Generation (RAG)
pipelines for enterprise use cases
Create
prompt engineering
strategies and optimize LLM responses
Integrate
OpenAI ,
Azure OpenAI , or other
foundation models
into application workflows
Work with
vector databases
for document storage and
semantic search
Develop
AI agents
and automated workflows
Build and integrate
REST APIs
and scalable AI services
Evaluate, monitor, and optimize
model performance
Requirements
Experience designing and developing GenAI applications using
LLMs
Experience building
RAG
pipelines for enterprise use cases
Proficiency with
prompt engineering
to improve LLM output quality
Experience integrating
OpenAI ,
Azure OpenAI , or other
foundation models
Hands-on experience with
vector databases
for document storage and semantic search
Experience developing
AI agents
and automated workflows
Experience building and integrating
REST APIs
and scalable AI services
Ability to evaluate, monitor, and optimize
model performance
Technologies
LLMs
Retrieval-Augmented Generation (RAG)
OpenAI
Azure OpenAI
Vector databases
REST APIs
Foundation models
Prompt engineering
Location:
Dallas, TX (onsite)
#J-18808-Ljbffr