Associate Forward Deployed Engineer

About the Role

Tenex builds frontier AI that works in the real world. Our engineers sit with C-suite leaders, find where AI adds the most value, and ship bleeding-edge AI to production.

Key Responsibilities

• Own client projects end to end: find where AI adds real value, decide the technical plan, build the whole system, and keep improving it in production.
• Lead a few projects at a time in a pod run by an engineering manager.
• Learn to structure work for agents, engineer context, evaluate outputs, and decide where people stay in control.
• Contribute to agent systems, evals, and tools that make future projects faster.

Requirements & Tech Stack

• Have shipped and supported production software.
• Have built reliable systems with LLMs.
• Can explain decisions to a CEO or an engineer.

Qualifications

The following are examples of work our engineers have done:

• Sales intelligence for a sports and entertainment company: Models score 4.1M fans nightly, and an LLM explains each score for sales reps.
• Shelf and field intelligence for a beauty brand: Revenue forecasts, field staffing optimization, and AI checks of shelf photos.
• In-store computer vision for a retail analytics company: Vision models run on edge devices, counting 98% of entries with zero false counts.
• AI legal review for true-story TV scripts at a global media company: Attorneys start from an AI first pass.

Compensation

• OTE $224K-$394K
• Offers Equity
• Offers Bonus
• 55/45 split

How We Work

Tenex is intense by design. The pace is fast, and the standards are high. Engineers share what they learn, challenge each other, and step in to help. This role is for engineers who want responsibility, hard problems, and a steep learning curve.