Language Engineer (AI)

TL;DR

Language Engineer (AI): Responsible for how Copilot wields language in order to improve the Large Language Models that power Copilot. Focus on crafting and refining the context and prompts used to steer, train and evaluate the language models for emotional and intellectual use cases.

Location: Starting January 26, 2026, employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

Salary: USD $119,800 – $234,700 per year.

Company

hirify.global is pushing the boundaries of technology by creating unique, beautiful and powerful products.

What you will do

• Craft and refine the context and prompts used to steer, train and evaluate the language models that power Microsoft Copilot for emotional and intellectual use cases.
• Create evaluations and establish evaluation frameworks to measure both technical/practical performance and non-deterministic performance like EQ.
• Research & implement novel prompting techniques.
• Extract insights from extensive language datasets to uncover issues and opportunities to improve model response quality.
• Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

Requirements

• Bachelor’s Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 1+ years experience in context engineering with foundational software engineering knowledge.
• 3+ years experience working in a fast-paced environment, managing multiple priorities, and adapting to changing requirements and deadlines.
• Hands-on experience with prompt design, context window management, and model evaluation.

Nice to have

• 2+ years of experience shipping consumer-facing products.
• 1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations and driving efficiency improvements.
• Technical depth in software development, data science and machine learning.

Culture & Benefits

• As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
• Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.