Benefits

• Unlimited PTO
• 100% Company Paid Health, Dental & Vision
• Company Paid Life Insurance
• 401k Savings
• Company Paid Disability Insurance
• Equity Program- Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK
• Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management
• Expert level understanding of containerization (Docker), and hands on experience with CI/CD pipelines, orchestration tools (e.g., ECS) is a plus
• Production-level experience with Databricks MLFlow, including model registration, versioning, asset bundles, and model serving workflows
• Expert-level coding skills in TypeScript and Python building robust APIs and backend services
• 7+ years of professional experience in software engineering and infrastructure engineering
• Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members
• Strong collaboration skills and the ability to partner effectively with cross-functional teams
• Proven ability to design reliable, secure, and scalable infrastructure for both real-time and batch ML workloads
• Understanding of LLM cost monitoring, latency optimization, and usage analytics in production environments
• Knowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG
• Familiarity with emerging LLM frameworks such as DSPy for advanced prompt orchestration and programmatic LLM pipelines
• If you are passionate about building robust AI infrastructure, enabling rapid experimentation, and supporting production-scale AI workloads, we’d love to talk to you