GenAI Engineer: LLMs, RAG & AI Pipelines

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking a Gen AI Engineer for a 6-month engagement with extension potential. The role involves designing, developing, and deploying Generative AI applications using LLMs, RAG pipelines, and AI frameworks, with opportunities to integrate OpenAI/Azure OpenAI and vector databases.

You will build AI agents, scalable services, and REST APIs while evaluating and optimizing model performance.

Qualifications

• Experience designing GenAI solutions using large language models (LLMs).
• Familiarity with retrieval augmented generation (RAG) pipelines and enterprise-grade prompt strategies.
• Hands-on experience integrating OpenAI, Azure OpenAI, or other foundation models into applications.
• Experience working with vector databases for semantic search and document storage.

Responsibilities

• Design and develop GenAI applications using LLMs.
• Build and implement RAG pipelines for enterprise use cases.
• Develop prompt engineering strategies and optimize LLM responses.
• Integrate OpenAI, Azure OpenAI, or other foundation models into applications.
• 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.

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking a Gen AI Engineer for a 6-month engagement with extension potential. The role involves designing, developing, and deploying Generative AI applications using LLMs, RAG pipelines, and AI frameworks, with opportunities to integrate OpenAI/Azure OpenAI and vector databases.

You will build AI agents, scalable services, and REST APIs while evaluating and optimizing model performance.