AI​/ML Engineer

An AI/ML Engineer role embedded in an advisory practice that delivers applied AI solutions to a wide range of client organizations. The work emphasizes production-grade systems over research novelty, with engineers owning projects end-to-end from discovery through deployment. The position offers significant variety, spanning healthcare, SaaS, enterprise, and other industries, and requires both strong technical depth and consulting-style communication with non-technical stakeholders.

• Architect and build production AI systems including retrieval-augmented generation pipelines, multi-agent architectures, and LLM-powered automation
• Work directly with clients to understand business problems, design solutions, and deliver measurable outcomes
• Set up LLM observability, evaluation, and reliability infrastructure for production deployments
• Context-switch across multiple projects and industries, learning new domains quickly
• Translate complex technical concepts into business value for non-technical stakeholders
• Maintain high engineering standards to ensure systems work in production, not only in demos

• Strong software engineering fundamentals with hands-on experience shipping LLM-based systems
• Experience with the full AI stack including retrieval, embeddings, orchestration, and evaluation
• Demonstrated ability to build production systems with attention to reliability, latency, and cost
• Comfort working directly with clients and communicating technical decisions to varied audiences
• Ability to context-switch between projects and pick up new problem domains efficiently
• Pride in craftsmanship and building systems that genuinely work at scale

• Experience with AI observability, evaluation, and monitoring tooling
• Background in consulting, advisory, or client-facing engineering roles
• Conference speaking or technical writing experience

• Remote-first, full-time, US-based
• Salary range $140,000 to $200,000
• Mac Book Pro, external display, and peripherals of choice
• AI tools and developer subscriptions provided including coding assistants
• 401(k) with company match, 12 weeks paid parental leave
• Home office setup stipend of $1,000 and quarterly team offsites
• Generous learning budget, conference attendance, and speaking opportunities supported