Description

Design, build, and deploy production-grade AI solutions, focusing on Generative AI, RAG, and enterprise integrations.

This role is remote.

Responsibilities

• Architect and implement Retrieval-Augmented Generation (RAG) systems using vector databases like Pinecone or Weaviate.
• Develop scalable AI services and APIs using FastAPI or Flask, ensuring production readiness.
• Build and orchestrate AI agents and multi-agent systems using modern SDKs.
• Deploy and manage cloud-native AI solutions on GCP, AWS, or Azure with a focus on scalability and cost optimization.
• Establish CI/CD pipelines using GitLab or Jenkins, implementing Infrastructure as Code with Terraform or Ansible.

Required Skills

• 5+ years in Software Engineering or AI/ML.
• Strong proficiency in Python, including NumPy, Pandas, and PyTorch/TensorFlow.
• Hands-on experience with LLMs (OpenAI, Vertex AI) and prompt engineering.
• Proven track record of delivering end-to-end ML/AI systems from prototype to production.
• Experience building enterprise-grade Generative AI applications.
• Knowledge of cloud platforms (GCP preferred) and deployment strategies.

Preferred Skills

• Experience in education or digital learning platforms.
• Familiarity with TypeScript, Java, or SQL.
• Background in regulated environments.

Key Skills

Education

Any Graduate