Experience with LLM integration pipelines (OpenAI, Vertex AI, Hugging Face models)
Hands on experience in working with voice agents, TTS, STT, caching mechanisms, and ElevenLabs voice technology
Strong understanding of vector databases like Qdrant or Milvus
Hands-on experience with Langchain, LlamaIndex, or agent frameworks (e.g., AutoGen, CrewAI)
Knowledge of FastAPI, Celery, and orchestration of ML/AI services
Familiarity with cloud deployment on GCP, AWS, or Azure
Ability to build and fine-tune matching, ranking, or retrieval-based models
Developing agentic workflows for automation
Implementing NLP pipelines for parsing, summarizing, and communication (e.g., email bots, script generators)
Comfortable working with graph-based data representation and integrating with frontend
Experience in multi-agent collaboration frameworks like Google Agent2Agent
Practical experience in data scraping and enrichment for ML training datasets
Understanding of compliance in AI applications