Required Qualifications
3 6 years of professional Python development experience
Strong proficiency in Python 3.x and at least one web framework (FastAPI, Flask, or Django)
Hands-on experience building and integrating LLM/AI applications (chatbots, RAG, summarization, classification, or agentic systems)
Experience with at least one ML/AI framework: LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow
Experience with RESTful API design and microservices architecture
Solid understanding of SQL and database design
Practical, hands-on experience using AI coding assistants (Copilot, Claude Code, Cursor, etc.) in a real development workflow
Familiarity with unit/integration testing frameworks (pytest, unittest)
Working knowledge of Git, CI/CD pipelines, and containerization (Docker)
Preferred Qualifications
Experience with vector databases and embedding models
Familiarity with prompt engineering, LLM evaluation, and guardrails/safety practices
Exposure to cloud platforms (AWS, Azure, or GCP) and their AI/ML services (SageMaker, Vertex AI, Azure ML)
Experience with Kafka or similar event-streaming platforms
Understanding of MCP (Model Context Protocol) or agentic tool-calling frameworks
Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow)
Prior experience in Agile/Scrum environments
Nice to Have
Contributions to internal AI tooling adoption or engineering productivity initiatives
Experience with observability tools (Datadog, Splunk, Grafana)
Familiarity with data engineering tools (Airflow, Spark, dbt)
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