Sr. AI Engineer

Role Description

We are looking for an AI Engineer with a strong foundation in machine learning (ML), data engineering, or both, and hands-on experience building modern AI systems. This role is best suited for someone who started their career in ML, applied modeling, data engineering, or software engineering for data-intensive systems and later expanded into large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI systems. We are looking for someone with an evaluation-first mindset who believes AI systems should be designed with clear success criteria, testing strategies, and monitoring plans from the start.

The ideal candidate brings strong ML or data systems fundamentals, experience building LLM-powered applications, and practical experience designing and operating production-grade AI solutions that solve real business problems. This includes:

• Building multi-step AI workflows
• Integrating AI into enterprise systems
• Balancing quality, latency, cost, reliability, and maintainability

Humility, accountability, and a growth mindset are essential for success in this role. The right candidate is comfortable admitting mistakes, learning from feedback, challenging assumptions, and adjusting quickly when evidence suggests a better path forward.

Qualifications

• Bachelor's degree in Computer Science or a related field
• 6+ years of relevant experience
• 4+ years of experience in one or more of the following areas:
  • Machine Learning or Applied Modeling
  • Data Engineering
  • Software Engineering for Data-Intensive Systems
• 2+ years of experience building LLM-based applications, including at least 1 year building agentic AI systems
• Experience building and operating production data pipelines, data platforms, or large-scale data-intensive systems
• Hands-on experience building LLM-powered applications, including:
  • Context engineering
  • Retrieval-augmented generation (RAG)
  • Evaluation frameworks
  • Prompt engineering and optimization
• Experience designing and implementing agentic AI systems, including multi-step workflows
• Strong track record of defining evaluation strategies upfront and operating AI systems in production
• Advanced Python skills

Requirements

• Evaluation-first mindset
• Thoughtful, practical, and systems-oriented
• Ownership of outcomes and learning from mistakes
• Comfortable working in ambiguity and collaborating across teams

Benefits

• Competitive salary ranges aligned to industry standards
• Up to a 10% annual incentive bonus
• Comprehensive benefits package, including:
  • Universal, supplemental, and private healthcare plan choices
  • Retirement/pension plan contributions
  • Life event & disability coverage
  • Generous annual leave, company holidays, volunteer time off
  • E-learning license, tuition reimbursement, hackathons
  • Home office setup allowance
  • Additional benefits: pet insurance, identity theft protection, legal assistance