Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Artificial Intelligence
Backend Development
Cloud Computing
Continuous Delivery
Continuous Integration
Data Modeling
Generative Artificial Intelligence (AI)
JavaScript
Language Models
Machine Learning Operations (ML Ops)
Node.js
Microservices
Optimization
Performance Tuning
Prompt Engineering
TypeScript
SQL
Vector Databases
Job Details
Sr. GenAI Developer
Dallas, TX
Job Description:
We are seeking a Senior GenAI Developer with expertise in Prompt Engineering, RAG Architecture, AI-driven applications, and Language Models. The ideal candidate should have a strong backend development background with hands-on experience in Node.js/ JavaScript/TypeScript.
Key Responsibilities:
- Design and implement RAG (Retrieval-Augmented Generation) architectures for AI applications.
- Develop and optimize AI prompts and prompt engineering strategies for improved model responses.
- Work with language models (LLMs) to fine-tune and integrate into applications.
- Build and maintain scalable backend systems to support AI-driven features.
- Implement APIs and microservices for seamless AI model integration.
- Optimize and enhance GenAI pipelines for performance and efficiency.
Required Skills & Qualifications:
- Expertise in Prompt Engineering and AI Prompt Optimization.
- Strong knowledge of RAG architecture and LLM fine-tuning.
- Proficiency in Node.js or JavaScript or TypeScript for backend development.
- Experience with AI model deployment, APIs, and cloud-based AI services.
- Experience in Data Modeling, SQL, and Data Pipelines.
- Knowledge of Vector Databases, Embeddings, and AI-driven search.
- Familiarity with MLOps, CI/CD for AI models, and performance optimization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.