AI Engineer

Experience in AI/ML engineering, with at least 3+ years in LLM-based solutions. Strong proficiency in Python and experience with pro-code agent development. Hands-on experience with multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI, Swarm). Deep understanding of LLM orchestration, prompt engineering, and tool integration. Familiarity with vector databases, retrieval-augmented generation (RAG), and knowledge graphs. Experience deploying AI solutions on cloud platforms with a focus on agent deployment and orchestration Azure Cloud – Azure AI services, Kubernetes, and agent orchestration pipelines. Google Cloud Platform (GCP) – AI/ML services, Vertex AI, containerized agent deployment. Proficiency with Google AI Developer Kit (ADK) for building and integrating AI solutions. Knowledge of observability tools for AI agents and evaluation frameworks. Strong problem-solving skills and ability to work in fast-paced, innovative environments.