Applied AI Engineer

Design and develop the core architecture of the AI platform used to build and deploy AI agents and AI-powered services. Architect and implement agent orchestration frameworks using LangChain and LangGraph for complex multi-step AI workflows. Develop and maintain platform SDKs, Python libraries, and developer tooling to standardize integration with models, tools, and enterprise systems. Build and maintain the LLM integration layer, supporting multiple model providers and internal model deployments. Design platform components for prompt lifecycle management, tool calling frameworks, agent execution engines, and memory management. Implement observability, tracing, and evaluation capabilities using tools such as Langfuse to monitor prompts, agent reasoning, and system performance. Ensure the platform meets requirements for scalability, reliability, security, and performance in production environments. Collaborate with Applied AI Engineers to define best practices...