Solid proficiency in Python and experience with AI/ML frameworks. Hands-on experience with LLM orchestration libraries (LangChain, LlamaIndex etc.).
Deep understanding of vector databases (Pinecone, Weaviate, Milvus, etc.) and similarity search algorithms.
Experience with autonomous AI frameworks.
Understanding of knowledge graph integration for contextual reasoning.
Proven track record in building agent-based AI architectures.
Knowledge of NLP pipelines and prompt engineering best practices.
Familiarity with API integrations and microservices deployment.
Problem-solving mindset with strong analytical skills.
Excellent communication and collaboration abilities.