Full Stack AI Engineer

Responsibilities

• Lead the design, development, and deployment of production AI systems end-to-end
• Contribute hands‑on to the codebase and set a high bar for engineering quality
• Establish scalable patterns for evaluation, deployment, and system reliability
• Conduct technical design reviews and guide architectural decisions
• Mentor and develop engineers, providing regular coaching and technical guidance
• Support hiring efforts, including candidate evaluation and onboarding
• Partner with cross‑functional stakeholders to align priorities and deliver impactful solutions
• Help translate experimentation into stable, production‑ready systems

• 5–8 years of experience building production software systems
• At least 2 years working with AI/ML or LLM-based solutions in production environments
• Demonstrated ownership of delivering end‑to‑end AI systems or features
• Strong understanding of modern AI development practices (e.g., evaluation, prompt iteration, system integration)
• Comfortable working across the stack, including data pipelines, model serving, and application layers
• Hands‑on experience with LLMs, agent‑based systems, or generative AI applications
• Familiarity with evaluation frameworks, prompt iteration, and model behavior tuning
• Understanding of limitations and failure modes of AI systems, and how to design around them
• Experience operationalizing AI workflows (e.g., pipelines, monitoring, feedback loops) in real‑world environments
• Experience serving as a technical lead or senior engineer on a team
• Strong communication skills, including technical documentation and stakeholder engagement
• Ability to influence decisions and drive alignment without formal authority