Gen AI Engineer

Robotics Technologies; Dallas (TX); Presencial; USD 140 000 - 210 000; Tempo integral

Resumo da oferta

Robotics Technologies is seeking an experienced GenAI Engineer to design, build, and deploy generative AI applications leveraging LLMs and RAG.

The role focuses on integrating OpenAI and Azure OpenAI, using vector databases for semantic search, and developing AI agents and scalable REST services. Onsite work in Dallas, TX is required.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

LLMs

RAG

Prompt engineering

OpenAI

Azure OpenAI

Foundation models

Vector databases

Semantic search

AI agents

REST APIs

Descrição da oferta de emprego

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)