Python AI Engineer

Python AI Engineer

Summary: Our years of professional software engineering experience and strong expertise in Python distributed systems microservices and AI/LLM applications. The ideal candidate will build scalable backend services integrate AI capabilities and tool-based interfaces and develop production-ready solutions using modern cloud-native technologies. Required

Qualifications:- 6 years of professional software engineering experience with strong Python expertise.- Proven experience designing and operating microservices REST APIs and distributed systems.- Experience building MCP servers AI service integrations or tool-based interfaces for LLM applications.- Proficiency with modern Python frameworks such as FastAPI.- Strong understanding of scalable architecture asynchronous processing caching messaging and fault-tolerant design.- Experience with SQL data modeling Git automated testing and CI/CD.- Hands-on experience with Docker Kubernetes and AWS Google Cloud or Microsoft Azure.- Experience with logging metrics distributed tracing and production troubleshooting.- Familiarity with LLM applications RAG embeddings vector databases and AI orchestration frameworks.- Exposure to technologies such as Kafka Spark Airflow MLflow Kubeflow or Argo Workflows. Preferred

Qualifications:- Experience developing agentic AI and tool-calling workflows.- Experience with LangChain LangGraph Semantic Kernel LlamaIndex or similar AI orchestration frameworks.- Experience with cloud-native AI services and managed vector/search platforms.- Knowledge of distributed system patterns event-driven architecture and asynchronous messaging.