Artificial Intelligence

. Design, develop, and deploy end-to-end AI/ML features across the company's product suite and enterprise client projects.
2. Build and maintain agentic AI systems using orchestration frameworks (LangChain/LangGraph), LLM APIs, and FastAPI for automation workflows.
3. Develop and integrate voice AI pipelines (STT/TTS) using Whisper and TTS engines for real-time and offline deployment.
4. Architect and implement knowledge graphs (Neo4j) and vector databases (ChromaDB) for multimodal RAG systems.
5. Build full-stack web applications using React/Next.js (frontend) and Node.js/Python/FastAPI (backend).
6. Work with LLMs (Claude, GPT, and open-source models) for fine-tuning, prompt engineering, and inference optimization.
7. Deploy ML models and AI services on GCP, AWS, and Azure using Docker, Nginx, and CI/CD pipelines.
8. Build dashboards, reporting tools, and data visualization components.
9. Collaborate with leadership to translate business requirements into fully deployed features.