Gen AI Engineer

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

Job Overview

• Job ID: J53479
• Job Title: Gen AI Engineer
• Location: Dallas, TX
• Duration: 6 Months + Extension
• Domain Exposure: Pharmaceuticals
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Summary

We are looking for an experienced GenAI Engineer to design, develop, and deploy Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI frameworks.

Key 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.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.