AI engineer

The role asks for someone who can take AI features and agents from idea to running production systems, working alongside research, data and product teams. A strong candidate brings several years of hands on machine learning work, solid Python and deep learning framework skills, and comfort with cloud and lifecycle tooling. Clear, well tested code and a habit of weighing safety and fairness in what gets shipped matter here.

This is a build role inside an AI company, so the work is directly about making AI agents useful and dependable for large enterprises. Much routine model plumbing and evaluation can be sped up with tooling, which shifts the human effort toward design choices, grounding in company data, and judging when output is trustworthy. Responsible practice such as bias checks and explainability stays a human responsibility.

A person here would gain hands on work deploying agents and language model features into production, plus practice with evaluation and safety methods. Building familiarity with retrieval over company knowledge and governance minded design would help, since the platform centers on grounding agents in enterprise data. Prior work shipping model backed features and testing them at scale is the most direct preparation.

• Python production ML
• PyTorch or Tensor Flow
• LLM and NLP depth
• Cloud and MLOps
• Responsible AI practice

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.