You have:
· Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio)
· Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka)
· Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD)
· At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems
· Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI)
· Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering.
· Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem.
· Experience with PoC development and iterating quickly based on results.
· Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.
· Strong debugging, profiling, and optimization skills for AI applications.