Senior AI Engineer developing production-grade AI solutions across ML and optimization. Leading design and deployments while mentoring junior engineers and collaborating with AI leadership.
Responsibilities
Lead the implementation of production-ready AI systems across predictive modeling, optimization, and LLM-powered applications
Design end-to-end architectures including data pipelines, APIs, model services, orchestration layers, and monitoring systems
Build and deploy AI workflows within Azure and Databricks environments
Develop robust evaluation frameworks for both ML models and LLM-based systems
Design and implement AI applications with strong grounding, safety, evaluation, and cost controls
Build AI workflows including tool integration, memory systems, and orchestration logic
Implement model routing, fallback strategies, and guardrails
Develop context and memory systems (retrieval, summarization, session continuity)
Requirements
2 years of relevant experience required
5–7 years of experience in AI engineering, machine learning, or software engineering preferred
Strong proficiency in Python and production-grade development practices preferred
Proven experience deploying ML/AI systems into production environments preferred
Experience designing APIs, pipelines, and service-oriented architectures preferred
Strong understanding of model evaluation, experimentation, and performance tradeoffs preferred
Ability to work independently and mentor junior team members
Benefits
Flexible PTO (designed to offer flexible time away for you!)
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