Staff Applied AI Engineer

TL;DR

Staff Applied AI Engineer (AI): Leading the technical direction of AI agents, shaping how LLMs turn natural language into production-ready applications. Focus on maintaining context across codebases and orchestrating multi-step workflows.

Location: Remote

Company

Bolt.new by hirify.global is a globally distributed, fully remote team building the future of software development with an AI-powered builder that lets you create, edit, and deploy web and mobile apps instantly, right in your browser.

What you will do

• Lead the design and evolution of AI agent systems, establishing patterns, frameworks, and standards across the organization.
• Shape the approach to leveraging models from providers such as OpenAI (GPT series), Anthropic (Claude), and Google (Gemini).
• Design the foundational systems that enable AI agents to call external tools and APIs safely and effectively.
• Partner with teams across engineering, product, and design to align AI initiatives with business objectives.
• Define the methodology for collecting, curating, and analyzing datasets from agent responses and multi-turn conversations.
• Stay at the forefront of NLP and LLM research, identifying and championing novel techniques that provide competitive advantage.

Requirements

• Familiarity with TypeScript.
• Extensive hands-on experience working with Large Language Models (LLMs).
• Deep expertise in prompt engineering with the ability to establish best practices and mentor others.
• Strong software engineering fundamentals with experience designing systems that scale.
• Ability to take ambiguous, high-scope problems and drive them to completion with minimal oversight.
• Strong verbal and written English communication skills are required.

Nice to have

• Familiarity with DSPy (Declarative Self-improving Python) for building modular AI systems and optimizing prompts programmatically.
• Understanding of ML fundamentals and experience with model evaluation metrics.
• Experience contributing to or maintaining open-source AI/ML projects.
• Experience reading and implementing techniques from AI/ML research papers.
• Experience speaking at conferences, publishing technical content, or representing an organization in industry forums.

Culture & Benefits

• Globally distributed, fully remote team.
• Passionate engineers, designers, and creatives building the future of software development.
• Focus on shipping fast, solving real problems, and pushing the boundaries of what's possible.