AI Engineer

Key Qualifications5+ years of software/cloud engineering experience, with recent hands-on experience building GenAI/LLM applications.Strong programming expertise in Python and API development using FastAPI.Hands-on experience building production-grade RAG applications, including document ingestion, chunking, embeddings, retrieval, grounding, and response generation.Practical experience with LangGraph or CrewAI for agent orchestration, tool calling, workflow/state management, and multi-agent use cases.Experience integrating LLM applications with enterprise systems using MCP or equivalent tool/context integration patterns.Strong understanding of vector search, embeddings, semantic retrieval, and knowledge graphs.Hands-on experience with Azure OpenAI and Azure AI Search.Strong Kubernetes experience, preferably deploying AI workloads on AKS.Experience provisioning cloud infrastructure through Terraform.Experience implementing automated CI/CD using GitHub Actions.Experience implementing production observability for LLM/agent applications using LangSmith, OpenTelemetry, and/or Azure Monitor.Strong understanding of enterprise security practices including secrets management, identity/access controls, and Azure Key Vault.