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.