Sr. GenAI Engineer

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Role Overview

We are seeking a highly experienced Senior GenAI Engineer to design build and deliver enterprise-grade Generative AI solutions. This role requires a strong Java engineering foundation hands-on Python for AI/LLM integration and proven experience taking GenAI applications from concept through production in a hybrid enterprise environment.

The ideal candidate will have deep exposure to LLMs containerized deployments cloud platforms and modern AI architecture patterns such as RAG and vector databases along with a strong understanding of the end-to-end SDLC.

Key Responsibilities

Design develop and deploy Generative AI applications from concept through production.
Build scalable backend services and microservices using Java.
Integrate LLMs and AI services using Python for orchestration workflows and evaluation.
Implement prompt engineering LLM orchestration and workflow integration for enterprise use cases.
Design and implement Retrieval Augmented Generation (RAG) solutions using embeddings and vector stores.
Build and deploy containerized GenAI services using Docker.
Ensure solutions follow best practices across the full SDLC including:
- Architecture & design
- Development
- Deployment
- Monitoring & optimization
Collaborate with cross-functional teams including platform cloud security and product teams.
Optimize GenAI solutions for performance reliability scalability and governance.

Mandatory Skills & Qualifications

14 years of overall IT experience.
Strong hands-on experience in Java application and microservices development.
Hands-on Python experience for AI/LLM integration.
Proven experience designing and delivering GenAI solutions into production.
Strong understanding of LLMs including:
- Prompt engineering
- Orchestration
- Evaluation
- Workflow integration
Hands-on experience with Docker for building and deploying containerized AI services.
Solid understanding of RAG architectures embeddings and vector databases/stores.
Strong knowledge of end-to-end SDLC and enterprise delivery practices.

Cloud & Platform Experience

Experience working with Azure or Google Cloud Platform (GCP)

GCP experience is preferred

Role Overview We are seeking a highly experienced Senior GenAI Engineer to design build and deliver enterprise-grade Generative AI solutions. This role requires a strong Java engineering foundation hands-on Python for AI/LLM integration and proven experience taking GenAI applications from concept th...

Role Overview

Key Responsibilities

Design develop and deploy Generative AI applications from concept through production.
Build scalable backend services and microservices using Java.
Integrate LLMs and AI services using Python for orchestration workflows and evaluation.
Implement prompt engineering LLM orchestration and workflow integration for enterprise use cases.
Design and implement Retrieval Augmented Generation (RAG) solutions using embeddings and vector stores.
Build and deploy containerized GenAI services using Docker.
Ensure solutions follow best practices across the full SDLC including:
- Architecture & design
- Development
- Deployment
- Monitoring & optimization
Collaborate with cross-functional teams including platform cloud security and product teams.
Optimize GenAI solutions for performance reliability scalability and governance.

Mandatory Skills & Qualifications

14 years of overall IT experience.
Strong hands-on experience in Java application and microservices development.
Hands-on Python experience for AI/LLM integration.
Proven experience designing and delivering GenAI solutions into production.
Strong understanding of LLMs including:
- Prompt engineering
- Orchestration
- Evaluation
- Workflow integration
Hands-on experience with Docker for building and deploying containerized AI services.
Solid understanding of RAG architectures embeddings and vector databases/stores.
Strong knowledge of end-to-end SDLC and enterprise delivery practices.