Role: AI Engineer (RAG Model and GCP)

Location: Irving, TX hybrid 3x/week onsite

Duration: 6+ month CT

Visa Restrictions: All except H1B

MOI: Video

Must have: RAG Model and GCP

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
• Data Processing: Airflow, Apache Beam, Kafka
• 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