The Senior AI Engineer will lead the design and implementation of production-grade AI solutions across machine learning, optimization, and generative AI
Job Summary
The Senior AI Engineer will lead the design and implementation of production-grade AI solutions across machine learning, optimization, and generative AI.
Success in this role requires a strong understanding that production AI involves far more than model development—it includes evaluation, observability, integration, governance, and operational excellence.
Our Perks include Flexible PTO, up to 12 weeks paid parental leave, Paid Volunteer Time Off, Mental health coverage, Quarterly Wellness stipend, and Fertility benefits.
Matching Summary
The Senior AI Engineer will lead the design and implementation of production-grade AI solutions across machine learning, optimization, and generative AI.
Skills & Requirements
Must-have
production-grade AI solutions
machine learning, optimization, generative AI
Python and production-grade development
deploying ML/AI systems into production
Azure and Databricks environments
LLM-based applications with strong grounding
MLOps and LLMOps standards
Nice-to-have
mentorship and technical oversight
client-facing engagements
flexible time away
focus on well-being
Key Requirements
2 years of relevant experience
5–7 years of experience in AI engineering, machine learning, or software engineering
Proven experience deploying ML/AI systems into production environments
Experience designing APIs, pipelines, and service-oriented architectures
Strong understanding of model evaluation, experimentation, and performance tradeoffs
Ability to work independently and mentor junior team members