AI Platform Engineer - Applied AI (Remote)

About the Role

We are seeking an AI Platform Engineer to join our team remotely. This AI Platform Engineer remote position is pivotal in shaping the future of AI applications by building the infrastructure that supports high-performing, reliable AI systems. You will work in a dynamic environment where your contributions will directly impact the development of intelligent features such as AI agents and copilots.

What You'll Do

• Design and build evaluation frameworks to measure AI system performance, including offline development metrics and real-time production monitoring.
• Develop observability tools and dashboards to track system quality, latency, and accuracy over time.
• Investigate and diagnose performance issues across AI pipelines, identifying root causes such as retrieval, ranking, or prompt design flaws.
• Experiment with different models, architectures, and agent configurations to optimize system outcomes.
• Prototype and implement improvements to retrieval-augmented generation (RAG) pipelines, including chunking, retrieval, and re-ranking strategies.
• Analyze user interactions with AI features to uncover opportunities for enhancement and innovation.
• Collaborate closely with engineering teams to validate improvements and ensure system reliability.
• Stay up to date with emerging AI tools, frameworks, and best practices to continuously evolve platform capabilities.

Requirements

• 6+ years of experience in software engineering, data science, or machine learning, with exposure to domains such as NLP, search, or recommendation systems.
• Proven experience building and evaluating production-grade AI systems, including LLM-based applications and RAG pipelines.
• Strong proficiency in Python for experimentation, prototyping, and data analysis.
• Solid understanding of AI system architecture, including embeddings, retrieval mechanisms, and context management.
• Experience designing evaluation pipelines, A/B testing frameworks, and performance measurement systems.
• Ability to build internal tools and infrastructure such as dashboards and data processing pipelines.
• Willingness to work with and learn additional technologies (e.g., Ruby on Rails) for system integration.
• Excellent collaboration and communication skills in a distributed, async team.

Nice to Have

• Experience with cloud platforms such as AWS or Azure.
• Familiarity with containerization technologies like Docker.
• Knowledge of GDPR compliance in AI systems.

What We Offer

• Competitive salary package ranging from $130,000 to $140,000 USD annually, with regular compensation reviews.
• Fully remote work environment with flexibility to work from anywhere.
• Generous paid time off (35 days annually) plus sabbatical opportunities after long-term tenure.
• Comprehensive healthcare coverage for employees and their families (or equivalent reimbursement options).
• Parental leave to support growing families.
• Home office setup allowance.
• Learning and development stipend for continuous skill growth.
• Biannual company retreats in international locations.