Machine Learning Engineer

Machine Learning Engineer (Agentic Systems) We’re working with a well\-funded AI company building systems that go far beyond standard LLM applications. This isn’t about prompt → response or simple RAG pipelines. The focus is on agent\-driven systems that operate in real environments; taking actions, orchestrating tools, and producing outputs across complex workflows. What you’ll be doing * Designing and building agentic / multi\-agent systems in production * Working on reasoning, memory, and tool orchestration * Integrating models into real systems with live state, feedback loops, and execution layers * Collaborating closely with platform and product teams to ship end\-to\-end AI functionality What we’re looking for * Experience building AI systems beyond basic LLM usage * Exposure to agents, orchestration frameworks, or complex LLM pipelines * Strong software engineering skills * Comfortable working in production environments, not just research or prototypes Nice to have * Experience with multi\-agent systems, long\-term memory, or tool use * Background in distributed systems or real\-time environments * Familiarity with frameworks like LangChain, LlamaIndex, or similar