Applied AI Engineer

About the role

The Applied AI Engineer will transform model capabilities into real-world product behavior, owning the entire lifecycle from model shaping to production reliability.

Responsibilities

• Build and ship AI features end-to-end (model → system → user experience)
• Design and iterate on prompts, tools, memory, and agent workflows
• Turn raw model outputs into structured, reliable, and predictable behaviors
• Debug issues across the full stack (model, orchestration, infra, UX)
• Optimize for latency, cost, and production reliability
• Develop lightweight evaluation frameworks to measure real-world performance
• Work closely with product and engineering to translate ambiguous problems into working systems

Requirements

• Strong foundation in machine learning and modern neural network architectures
• Hands-on experience with training, fine-tuning, or deploying ML models
• Ability to write clean, production-quality code
• Comfort working across abstraction layers (model → infra → product)
• Strong problem-solving skills in ambiguous, fast-moving environments
• Bias toward shipping, iteration, and continuous improvement

Qualifications

• Experience with Python and PyTorch / JAX
• Experience with large language models (LLMs) and inference/serving technologies (e.g., vLLM)
• Experience with vector databases

Skills

• Expertise in machine learning and neural networks
• Experience with model training, fine-tuning, and deployment
• Proficiency in Python and related libraries
• Experience with vector databases and other data storage solutions
• Ability to work across multiple abstraction layers
• Strong problem-solving and debugging skills

Benefits

• Competitive compensation package
• Flexible work schedule
• Opportunities for professional growth and development
• Collaborative and inclusive work environment

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position with flexible working hours.