Member of Technical Staff, Senior Applied AI Engineer (LLM)

TL;DR

Senior Applied AI Engineer (LLM): Designing and shipping LLM-powered assistant features for next-generation AI productivity capabilities with an accent on prompt architectures, agentic behaviors, and multimodal interactions. Focus on building and maintaining evaluation frameworks, running hillclimbing loops, and integrating LLMs with product surfaces and backend systems.

Location: Mountain View, United States. Must be authorized to work in the U.S.

Salary: USD $158,400 – $258,000 per year (for San Francisco Bay area and New York City metropolitan area)

Company

hirify.global is a fast-moving, high-ownership team building next-generation AI assistant and productivity capabilities.

What you will do

• Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, and multimodal interactions.
• Build prompt architectures, system instructions, and orchestration logic for reliability, grounding, and personality consistency.
• Develop and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
• Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance.
• Develop internal tools for prompt experimentation, model comparison telemetry, and debugging automated evaluation pipelines.
• Integrate LLMs with product surfaces, APIs, and backend systems, building lightweight ML components.

Requirements

• Bachelor’s Degree in Computer Science or a related technical field.
• 4+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Work authorization for the United States is required.

Nice to have

• Master’s Degree or PhD in engineering, applied math, statistics, or related analytical field.
• 2+ years shipping production-level code, models, or data analysis.
• 1+ years using AI-assisted coding and analysis techniques.
• Experience working on small teams and mid-stage startup environments.
• Experience working on AI products.
• Deep experience building from zero-to-one and hands-on work hillclimbing AI evaluations.

Culture & Benefits

• Operate with startup-founder energy, with a bias for action and rapid iteration.
• Work closely with researchers, engineers, and product leaders in a fast-moving AI team.
• Contribute to a culture of experimentation, clarity, and high-quality execution.
• Eligibility for benefits and other compensation packages.
• Microsoft is an equal opportunity employer.