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Hi ,

Title : AI Engineer – RAG Model & GCP

Location : Irving-TX (Remote also will work)

Contract

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.