Crogl, Inc.

Full-stack Engineer

• Own the architecture, technical design, and delivery for your team's area of the platform, turning roadmap into engineering plans that ship and hold up in production
• Drive the hardest technical decisions in your domain and resolve ambiguous, high-risk problems before they become blockers
• Design and build core parts of our compound AI system, spanning agents, LLMs, and RAG, with a focus on reliability, evaluation, and scale
• Own your team's most complex, mission-critical initiatives end to end, from problem framing through production and iteration
• Establish and champion engineering best practices, coding standards, architectural patterns, and AI-native development techniques within your team
• Multiply your team's impact by mentoring senior and mid-level engineers, raising the quality bar through code review, design review, and your own hands-on work
• Partner closely with your product and design counterparts to uncover requirements and align on priorities
• Stay current with the state of the art in software engineering and applied AI, and bring the relevant advances into your part of the platform

Staff Software Engineer – Product

AI Engineer

• Build LLM-powered features, workflows, and agentic systems that solve real customer problems.
• Design and implement evaluation frameworks to measure agent quality, reliability, and business impact.
• Create automated benchmarks, regression tests, and datasets for evaluating AI behavior.
• Investigate agent failures and develop systematic approaches to improve performance.
• Experiment with prompting, tool use, retrieval, memory, planning, and reasoning strategies.
• Build infrastructure that supports rapid experimentation, evaluation, deployment, and monitoring.
• Work closely with customers and internal teams to understand workflows and identify opportunities for AI automation.
• Contribute to engineering best practices for testing, observability, and production reliability.
• Stay current with advances in LLMs, agents, evaluation methodologies, and AI engineering.