Staff Applied AI Engineer

Vaga não está no LinkedIn

🕒 Março 24

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

bolt.new

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2017

☁️ SaaS

🤖 Inteligência Artificial

🤝 B2B

💰 $105.500.000 Series B - StackBlitz em 2025-01

SaaS • Artificial Intelligence • B2B

bolt. new é uma plataforma de desenvolvimento visual impulsionada por IA que permite que equipes e desenvolvedores individuais criem aplicativos web e sites prontos para produção, conversando com agentes de codificação integrados. Combina uma interface visual familiar com modelos de codificação AI de ponta, testes automáticos e refatoração, e suporte integrado a sistemas de design, para que os desenvolvedores possam construir mais rápido e com menos erros. O Bolt também inclui serviços de backend no estilo SaaS—hospedagem, bancos de dados, autenticação, SEO, analytics e domínios personalizados—posicionando-o como uma ferramenta completa para gerentes de produto, empreendedores, agências e estudantes que precisam transformar uma ideia em um produto ao vivo rapidamente.

Descrição

• You'll lead the technical direction of the AI agents that turn natural language into production-ready applications. • This means shaping how we work with LLMs to solve our hardest problems: maintaining context across large codebases, orchestrating multi-step workflows that feel intuitive, and handling everything from simple UI tweaks to complex architectural decisions. • You'll define the patterns and systems that govern how AI reasons about and generates full-stack applications, driving initiatives that span multiple teams and influence our broader AI strategy. • Your work shapes the experience of millions of users building real products with Bolt every day. • Lead the design and evolution of our AI agent systems, establishing patterns, frameworks, and standards that teams across the organization adopt. • Shape our approach to leveraging models from providers such as OpenAI (GPT series), Anthropic (Claude), and Google (Gemini). • Build relationships with provider teams to influence roadmaps and beta-test new capabilities. • 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. • Mentor senior and mid-level engineers, raising the bar for AI engineering practices across the organization. • 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.

🎯 Requisitos

• Familiarity with TypeScript is important. Our entire stack is built on it. • Extensive hands-on experience working with Large Language Models (LLMs), with a nuanced understanding of their capabilities, limitations, and emergent behaviors. Proven track record of building and scaling production AI systems. • Deep expertise in prompt engineering with the ability to establish best practices and mentor others. Skilled at crafting, refining, and optimizing prompts across different tasks, models, and use cases. • Strong software engineering fundamentals with experience designing systems that scale. Able to make architectural decisions that balance immediate needs with long-term maintainability. • Ability to take ambiguous, high-scope problems and drive them to completion with minimal oversight. Comfortable influencing direction across teams and navigating complex technical and organizational challenges. • Ability to identify process, communication, and technical debt across the organization and propose solutions that accelerate velocity for multiple teams. • Experienced in establishing data collection and analysis practices. Able to build evaluation frameworks, identify patterns in agent behavior, and translate findings into organizational improvements. • Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, customers, and potentially external audiences where English is the primary working language.

🏖️ Benefícios

• We're a globally distributed, fully remote team of passionate engineers, designers, and creatives building the future of software development.