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We’re partnered with a fast-growing applied AI company building production grade AI systems that are deployed directly into customer environments. This role sits on a small, high-output team focused on AI agents and large scale AI evaluations, with a strong backend engineering foundation. If you’re interested in shipping real AI systems (not demos) and working in a high-intensity environment, this is a rare career opportunity.
Job Responsibility:
Build and deploy AI agents that operate in real-world, customer facing workflows
Design and implement AI evaluation frameworks to measure quality, reliability, and performance of models and agents
Develop backend services and APIs supporting agent orchestration, data flow, and evaluation pipelines
Work across data, models, and infrastructure to move systems from prototype to production
Collaborate directly with customers to adapt agents to real use cases and constraints
Requirements:
Experience or strong interest in applied AI, AI engineering, or forward-deployed systems
Solid backend engineering fundamentals (APIs, services, debugging production systems)
Familiarity with LLMs, agents, or evaluation methodologies is a strong plus
Comfortable in customer-facing situations and fast-changing requirements
Python, Go (or similar backend language)
Agent frameworks such as LangChain, LangGraph, or custom-built systems