Description
The AI Engineer will design, develop, and deploy AI-powered solutions focused on AI-ready data pipelines, agentic AI systems, and LLM-based applications. Responsibilities include building scalable data pipelines, developing AI agents with planning, memory, tool integration, and workflow orchestration, creating AI APIs, integrating models with enterprise systems, and deploying production-grade solutions on AWS, Azure, or GCP while applying AI governance, monitoring, and MLOps practices. The role requires six years of experience and proficiency in Python, SQL, REST APIs, generative AI, LLMs, RAG, LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, vector databases, Spark, Airflow, Databricks, Docker, Kubernetes, CI/CD, and cloud AI services.
