Generative AI Engineer
Listed on 2026-02-16
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Dallas, United States | Posted on 01/12/2026
US Citizens and Green Card Holders needed
Role OverviewWe are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting‑edge AI solutions. The ideal candidate will have hands‑on experience with Large Language Models (LLMs),
prompt engineering
, and Generative AI frameworks
, along with proven expertise in building scalable AI applications for enterprise use cases.
This role focuses on developing agentic AI systems
, retrieval‑augmented generation (RAG), and multimodal AI solutions while integrating GenAI capabilities into production‑grade applications and workflows.
Design and deliver scalable, production‑ready Generative AI solutions that leverage modern LLMs, agentic frameworks, and cloud AI platforms to power intelligent applications across the enterprise.
Key Responsibilities (Scope)- Design and implement Generative AI models for:
- Text‑based applications
- Image‑based applications
- Multimodal AI solutions
- Develop and optimize prompt engineering strategies to improve LLM performance and reliability.
- Build and integrate embedding‑based retrieval systems and RAG pipelines
. - Integrate Generative AI capabilities into web applications and enterprise workflows
. - Design and develop agentic AI applications with:
- Context management
- Session and memory handling
- Collaborate with cross‑functional teams to deploy AI solutions at scale.
- Ensure AI solutions are reliable, secure, and production‑ready.
- Strong proficiency in Python
. - Solid experience with AI/ML frameworks such as:
- Py Torch
- Tensor Flow
- Hands‑on experience building multi‑agent systems
, including:- Session management
- Memory handling
- MCP tools
- Practical experience working with:
- Retrieval‑Augmented Generation (RAG)
- Semantic search techniques
- Familiarity with cloud AI services
, including:- AWS Sage Maker
- Understanding of MLOps practices for scalable AI deployment.
- Knowledge of AI ethics
, including:- Responsible AI practices
- Experience designing AI systems with governance, transparency, and compliance in mind.
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