Founding Machine Learning Engineer

What you'll do

• Design agent systems with review and validation, secure enterprise connectors, and runtime infrastructure.
• Build developer tools and code analysis capabilities, and take language-model pipelines, retrieval, and light model tuning from prototype to production.
• Set up low-latency model serving with usage and performance monitoring; collaborate with customers and help shape engineering standards and product direction.

What they ask for

• Experience working on enterprise or B2B AI products.
• Foundational machine learning experience and a track record of shipping production code in a shared team codebase.
• Experience with large language models and AI platforms, including agent frameworks and evaluating models or agents; hands-on experience coordinating multi-step agent systems and retrieval-based approaches.
• Bachelor's degree in computer science or machine learning from a top-tier university; regular use of AI tools in daily work.

Nice to have

• Software engineering experience at high-growth technology companies or startups; published machine learning research.
• Familiarity with an agent orchestration framework.

Pay

USD 175,000 to 300,000 per year (base salary)

Tools

large language models, AI platforms, agent frameworks, retrieval-based approaches

AI focus

Build AI agent systems with review and validation, enterprise software connectors, code analysis for legacy-code modernization, low-latency model serving, language-model pipelines, information retrieval, and light model tuning.