Senior AI Engineer

About The Role

We’re looking for a Senior AI Engineer to lead the 0→1 buildout and 1→n scaling of AI capabilities at Optimal Dynamics. You’ll set direction, establish engineering standards, and deliver production systems that ground AI outputs in trustworthy company and customer data. This is a hands-on role with broad ownership where you’ll make key architecture and tooling choices and evolve them as we learn.

Key Responsibilities

• Own RAG initiatives end-to-end from problem framing and data readiness through prototyping, iteration, and production launch.
• Establish foundational components and practices for document processing, indexing, retrieval, orchestration, and evaluation; selecting tools and approaches that balance quality, cost, and speed.
• Build reliable services and APIs that are observable, secure, and designed for scale in a cloud environment.
• Define success metrics (quality, latency, cost, safety) and drive continuous improvement via experimentation and data-driven decisions.
• Create durable team assets (i.e. playbooks, test harnesses, checklists, and documentation) to make RAG development repeatable across products.
• Collaborate cross-functionally with Product, Data/ML, Engineering, and GTM to translate ambiguous needs into shippable capabilities with clear business impact.
• Mentor teammates and contribute to a strong engineering culture around AI systems and responsible deployment.

Who You Are

• Experienced: a Senior, hands-on engineer who can take a fuzzy problem from discovery to reliable production outcomes.
• Pragmatic: You balance quality, cost, speed, and risk to ship value iteratively.
• Innovative: Comfortable choosing and evolving the stack as needs change; you create guardrails and standards along the way.
• Communicative: You have the ability to align stakeholders and translate complex technical ideas into clear decisions.
• Operational Owner: You care about reliability, observability, and measurable impact on customers and the business.

Key Qualifications

• 4+ years of proven industry experience building and operating backend, platform, or data services at production scale
• Bachelor's degree in Computer Science, Electrical Engineering, or related field