AI Developer

You will design, develop, and optimize AI solutions focusing on RAG models and large language model integration.

Responsibilities

• Design and optimize RAG models using Gemini AI and other LLM frameworks.
• Implement and manage vector databases to improve retrieval efficiency.
• Develop AI/ML solutions using Python, TensorFlow, and deep learning frameworks.
• Integrate AI solutions with GCP services including BigQuery and Airflow.
• Execute cost optimization strategies for AI workloads on Google Cloud Platform.

Required Skills

• 5+ years of experience in AI/ML development.
• Expertise in RAG models and Gemini AI.
• Proficiency in Python and SQL.
• Hands-on experience with TensorFlow and PyTorch.
• Experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and AI Platform.
• Practical knowledge of vector databases such as Pinecone, FAISS, or Weaviate.
• Understanding of machine learning, deep learning, and NLP concepts.
• Experience with PostgreSQL and cloud-based tool integration.
• Competency in infrastructure tools including Docker, Kubernetes, Terraform, and CI/CD pipelines.

Preferred Skills

• Experience with Large Language Models (LLMs) and generative AI frameworks.
• Familiarity with MLOps and cloud-based model deployment.
• Proven track record of optimizing AI workloads on GCP.