Generative AI Engineer

Responsibilities: Design and build agentic AI applications that can reason, plan, execute tasks, and interact with external tools and systems. Develop single-agent and multi-agent architectures for complex business workflows. Build tool-calling capabilities that allow agents to interact with APIs, databases, enterprise applications, and internal services. Develop and optimize RAG pipelines, vector search, embeddings, and contextual retrieval. Integrate LLMs from platforms such as OpenAI, Anthropic, Google, and open-source providers. Build orchestration workflows using LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies. Implement memory, state management, guardrails, human-in-the-loop controls, and structured outputs. Develop evaluation frameworks to measure agent accuracy, reliability, latency, and task completion. Deploy, monitor, and improve AI applications in production environments. Partner with engineering, data, security, product, and business teams to identify opportunities for agent-driven automation.