AI/ML Engineer

Responsibilities

• Build production-ready AI applications using Python and FastAPI.
• Design LLM pipelines including data ingestion, inference, and response generation.
• Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
• Apply advanced prompt engineering techniques to enhance LLM outputs.
• Implement vector stores and embeddings for semantic search and RAG.
• Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
• Integrate AI systems with enterprise platforms and maintain robust data flows.
• Follow best practices in coding, testing, and deployment within CI/CD pipelines.
• Continuously explore and recommend emerging tools and AI technologies.