Member of Technical Staff - Prompt Engineer

Microsoft
Mountain View, CA, USA / San Francisco, CA, USA / New York City, NY, USA2026-03-03onsite

About the job

You'll join our small team as a Prompt Engineer, the architect of these relationships. You'll craft the foundations that enable meaningful human-AI partnerships. You'll shape how our companions think, respond, and evolve through language—if you'll allow slight anthropomorphization, teach them how to be their best selves. You're somewhat of a designer, somewhat of an engineer, and somewhat of a mad scientist. You'll work intimately with the design and leadership team—because this is the product!—you're designing the core of the experience.

Responsibilities

Design & develop prompting techniques for emotional and intellectual use cases

Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care

Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ

Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team

Research & implement novel prompting techniques

Embody our culture and values.

Qualifications

Minimum

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

2+ years of experience with large language models

2+ years of experience working as a prompt engineer or similar field

A non-traditional background: philosophy, linguistics, psychology, therapy, or literature.

An understanding of conversation design or product design.

Familiarity with both quantitative metrics and qualitative assessment methods.

Experience with personalization systems that adapt to individual user needs.

Adversarial prompting experience or conducted some unhinged experiments.

Ethical experience with demonstrated social impact.