Senior Software Engineer – Solutions Architect, Python, GenAI

🕒 Março 30

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Provectus

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

🤖 Inteligência Artificial

☁️ SaaS

Artificial Intelligence • SaaS

Provectus é uma consultoria e provedora de soluções em inteligência artificial que ajuda empresas a se transformarem por meio de IA. Oferecendo tanto uma abordagem orientada a casos de uso quanto uma abordagem de plataforma, a Provectus integra IA às organizações para alcançar objetivos de negócio específicos e ampliar capacidades técnicas. Suas soluções são nativas em nuvem, agnósticas a fornecedores e abertas, permitindo a implantação na nuvem do cliente, sem licenças restritivas. Com aplicações em setores como varejo, manufatura e saúde, a Provectus entrega casos de uso impulsionados por IA e soluções prontas para uso para acelerar a inovação e a eficiência. A empresa também oferece consultoria, customização e serviços gerenciados de IA.

Descrição

• Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs. • Implement and optimize RAG systems for production use cases. • Design and build LLM-based and agentic AI solutions that address real client business challenges. • Own the technical direction of client engagements from discovery through delivery. • Support presales: discovery calls, technical proposals, scoping, and client-facing demos. • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice. • Mentor engineers, lead code reviews, and share knowledge across the team. • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.

🎯 Requisitos

• 7+ years building and running production systems, not only demos and POCs. • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions. • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization. • Experience building RESTful APIs with FastAPI, Django REST, or Flask. • Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL. • Strong testing practices: pytest, mocking, and integration tests for AI systems. • Experience with Docker and Kubernetes. • Hands-on experience building production LLM-based applications and agentic workflows. • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock). • Experience building and optimizing RAG systems. • Understanding of LLM evaluation techniques and quality assurance approaches. • Experience deploying and maintaining AI/ML models in production environments. • Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered. • Experience with React/Vue. • AWS and Claude Code Certifications. • Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.

🏖️ Benefícios

• Opportunity to work with cutting-edge AI and cloud solutions. • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications. • Career growth: a clear path toward SA or beyond — we actively develop our engineers. • Access to the latest AI tools and premium subscriptions. • Remote with flexible hours. • Unlimited Vacation policy. • Generous health, vision, and dental insurance. • 401(K) matching plan.