Senior AI Solutions Engineer

Required

• 6+ years of software engineering experience, including significant recent experience building and shipping applied AI or LLM-powered systems in production.
• Demonstrated experience designing, building, and deploying AI systems that interact with APIs, enterprise systems, data sources, or external tools to complete multi-step tasks.
• Strong Python skills and deep experience with modern LLM application development, including tool and function calling, orchestration, prompt and context engineering, structured outputs, RAG, model APIs, state management, and enterprise integrations.
• Experience taking AI solutions end-to-end, from an ambiguous problem statement through architecture, prototyping, implementation, deployment, and iteration.
• Experience engineering AI systems for reliability, including failure handling, human-in-the-loop controls, guardrails, permissions, monitoring, cost management, and latency management.
• Strong technical judgment on when to use an agent, RAG, classical ML, automation, or conventional software, including the discipline to avoid unnecessary complexity.
• Proven ability to work directly with non-technical stakeholders, understand how their work actually happens, and translate business needs into practical technical solutions.
• Strong product and business judgment. You can distinguish an interesting technical problem from a problem worth solving.
• Comfort operating in ambiguous, early-stage environments where you are expected to define the problem as much as solve it.
• The ability to move between rapid experimentation and production engineering, knowing when speed matters and when reliability, security, and scale matter more.
• A plus if you have:
• Experience in a forward-deployed, embedded, solutions engineering, applied AI, or highly cross-functional engineering role.