Senior Applied AI Engineer

TL;DR

Senior Applied AI Engineer (AI): Designing and shipping LLM-powered assistant features with an accent on prompt architectures, agentic behaviors, and multimodal interactions. Focus on building evaluation frameworks, driving systematic improvements through hillclimbing loops, and developing internal tools for AI org acceleration.

Location: Redmond, United States

Salary: USD $188,000 – $304,200 per year (applicable to specific US locations, otherwise USD $139,900 – $274,800 per year across the U.S.)

Company

hirify.global is hiring for 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 to ensure reliability, grounding, and personality consistency.
• Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
• Build 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, and build lightweight ML components.

Requirements

• Bachelor’s Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience.
• Proficiency in coding languages including C, C++, C#, Java, JavaScript, or Python.
• Ability to operate with startup-founder energy, demonstrating a bias for action, rapid iteration, and comfort with ambiguity.

Nice to have

• Master’s Degree and 3+ years of experience in engineering, problem solving, model building, evaluation, or data analysis.
• 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 in mid-stage startup environments.
• Experience working on AI products.
• Deep experience building from zero-to-one.
• Hands-on experience with hillclimbing AI evaluations.

Culture & Benefits

• Work in a fast-moving AI team where ideas ship quickly and impact is immediate.
• Contribute to a culture of experimentation, clarity, and high-quality execution.
• Microsoft is an equal opportunity employer and provides various benefits, details available on their careers site.