Found Description
Responsibilities
- Designing and building Generative AI applications using Large Language Models (LLMs)
- Developing agentic AI solutions including autonomous agents, multi-agent orchestration, and workflow‑driven decision systems
- Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks
- Implementing RAG architecture with vector databases, knowledge of embeddings, vector DBs, and model evaluation
- Implementing various context‑engineering strategies to reduce token utilization, latency, prompt engineering, tool calling, memory management, and agent orchestration
- Integrating AI services with enterprise APIs, middleware, and backend systems
- Evaluating and improving AI agent performance using several metrics
- Deploying scalable AI solutions on Azure and AWS cloud platforms
Qualifications
- Possesses a Master’s or Ph.D. in Computer Science, Artificial Int...