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.