Architecture/Design/Development - AI Developer II
Apply NowCompany: Della Infotech, Inc.
Location: Richardson, TX 75080
Description:
Job Description: Max rate is BR/hr.
Location : Irving-TX (Remote also will work)
Job Summary:
We are looking for an experienced AI Engineer with expertise in Retrieval-Augmented Generation (RAG) models, Gemini AI, and vector databases. The ideal candidate should have a strong understanding of AI workflows, proficiency in Google Cloud Platform (GCP) services like BigQuery and Airflow, and a keen eye for cost optimization and innovation.
Key Responsibilities:
Design, develop, and optimize RAG models using Gemini AI and other LLM frameworks.
Implement and manage vector databases to enhance AI-driven retrieval efficiency.
Develop AI/ML solutions leveraging Python, TensorFlow, and other deep learning frameworks.
Ensure seamless integration of AI solutions with GCP services like BigQuery, Airflow, and cloud-based tools.
Drive cost optimization strategies for AI workloads on GCP.
Research and implement innovative ideas to enhance AI capabilities and automation.
Collaborate with cross-functional teams to align AI solutions with business goals.
Tech Skills:
AI & ML Frameworks: RAG Model, Gemini AI, TensorFlow, PyTorch
Programming Languages: Python, SQL
Cloud Platforms: Google Cloud Platform (GCP), BigQuery, Vertex AI, AI Platform
Databases: Vector Databases (e.g., Pinecone, FAISS, Weaviate), PostgreSQL
Infrastructure & DevOps: CI/CD Pipelines, Terraform, Docker, Kubernetes
Cost Optimization: Cloud resource optimization strategies, serverless computing
Required Skills & Qualifications:
Strong expertise in RAG models and Gemini AI for AI-driven applications.
Hands-on experience with vector databases and AI-based retrieval systems.
Proficiency in Python, TensorFlow, and other AI/ML frameworks.
Solid understanding of machine learning, deep learning, and NLP concepts.
Experience working with GCP services, including BigQuery, Airflow, and cloud optimization techniques.
Ability to design and deploy cost-efficient AI solutions in a cloud environment.
Strong problem-solving skills and a passion for innovation in AI and cloud computing.
Preferred Qualifications:
Experience in LLMs (Large Language Models) and generative AI frameworks.
Familiarity with MLOps, CI/CD pipelines, and cloud-based model deployment.
Previous experience in optimizing AI workloads on GCP and other cloud platforms.
Additional Sills: Skills:
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Location : Irving-TX (Remote also will work)
Job Summary:
We are looking for an experienced AI Engineer with expertise in Retrieval-Augmented Generation (RAG) models, Gemini AI, and vector databases. The ideal candidate should have a strong understanding of AI workflows, proficiency in Google Cloud Platform (GCP) services like BigQuery and Airflow, and a keen eye for cost optimization and innovation.
Key Responsibilities:
Design, develop, and optimize RAG models using Gemini AI and other LLM frameworks.
Implement and manage vector databases to enhance AI-driven retrieval efficiency.
Develop AI/ML solutions leveraging Python, TensorFlow, and other deep learning frameworks.
Ensure seamless integration of AI solutions with GCP services like BigQuery, Airflow, and cloud-based tools.
Drive cost optimization strategies for AI workloads on GCP.
Research and implement innovative ideas to enhance AI capabilities and automation.
Collaborate with cross-functional teams to align AI solutions with business goals.
Tech Skills:
AI & ML Frameworks: RAG Model, Gemini AI, TensorFlow, PyTorch
Programming Languages: Python, SQL
Cloud Platforms: Google Cloud Platform (GCP), BigQuery, Vertex AI, AI Platform
Databases: Vector Databases (e.g., Pinecone, FAISS, Weaviate), PostgreSQL
Infrastructure & DevOps: CI/CD Pipelines, Terraform, Docker, Kubernetes
Cost Optimization: Cloud resource optimization strategies, serverless computing
Required Skills & Qualifications:
Strong expertise in RAG models and Gemini AI for AI-driven applications.
Hands-on experience with vector databases and AI-based retrieval systems.
Proficiency in Python, TensorFlow, and other AI/ML frameworks.
Solid understanding of machine learning, deep learning, and NLP concepts.
Experience working with GCP services, including BigQuery, Airflow, and cloud optimization techniques.
Ability to design and deploy cost-efficient AI solutions in a cloud environment.
Strong problem-solving skills and a passion for innovation in AI and cloud computing.
Preferred Qualifications:
Experience in LLMs (Large Language Models) and generative AI frameworks.
Familiarity with MLOps, CI/CD pipelines, and cloud-based model deployment.
Previous experience in optimizing AI workloads on GCP and other cloud platforms.
Additional Sills: Skills:
Category
Name
Required
Importance
Experience
No items to display.