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