13 days ago
Campinas, BrazilMid Level
Responsibilities
- Design, develop, and deploy AI-driven applications and services that solve business challenges and deliver customer value.
- Collaborate with product managers, data engineers, data scientists, software engineers, and business stakeholders to translate requirements into AI solutions.
- Develop, integrate, and deploy AI models, algorithms, APIs, AI agents, and multi-agent systems.
- Design AI architectures covering model selection, data pipelines, deployment strategies, scalability, orchestration, memory, tool integration, observability, and governance.
- Deploy and operate enterprise-grade AI agents using AWS Bedrock AgentCore and related cloud-native AI services.
- Evaluate emerging AI technologies, models, frameworks, development practices, engineering standards, and tooling.
- Drive continuous improvement across AI development processes, technology standards, and the engineering stack.
Requirements
- Bachelor’s or master’s degree in computer science, software engineering, artificial intelligence, or a related technical field.
- At least 3 years of hands-on experience developing and deploying AI-driven applications in real-world environments.
- Strong Python programming skills and experience building production-grade maintainable software.
- Experience with AI/ML frameworks, algorithms, model training, evaluation, and optimization.
- Experience with RESTful APIs, AI model serving, microservices architectures, cloud platforms, data pipelines, feature engineering, and backend AI integration.
- Experience with AWS Bedrock AgentCore, LangGraph, agent orchestration, tool calling, workflow orchestration, memory management, human-in-the-loop interactions, and observability.
- Familiarity with AWS or Azure, Docker, Kubernetes, and MLOps best practices.
- Experience integrating foundation models and AI agents with enterprise systems and cloud services, preferably in AWS environments.
- Experience using AI-assisted development tools such as Claude Code, OpenAI Codex, Cursor, or similar tools.
- Demonstrated success delivering AI-powered products, applications, or platforms to production with meaningful user adoption and measurable business impact.
- Strong understanding of the evolving AI ecosystem and current foundation models, agentic frameworks, AI engineering practices, and developer tooling.
- Confident English communication skills and availability to work in a hybrid model at the Campinas office.
Benefits
- Competitive base salary and an attractive bonus system.
- Caju multi-benefit card and fuel or transportation allowance.
- Comprehensive health and dental plans fully covered for employees and dependents.
- Life insurance.
- Well-being initiatives including Wellhub, an Employee Assistance Program for mental health, and health and well-being committees.
- Individual learning budget, LinkedIn Learning access, and internal training programs.
- Hybrid working model in Campinas.
- International projects, career development, and personal development planning.
- German-rooted company with a defined vision and job security.
- Team events, company getaways, and free fruit, snacks, drinks, and coffee at the office.
- Permanent CLT position.
Tech Stack
Categories
About 4flow
4flow provides supply chain consulting, software, and managed 4PL services to manufacturers, retailers, and logistics providers. Its model combines advisory projects, enterprise software for network design and planning, and outsourced transport management. Founded in 2000 and headquartered in Berlin, the privately held company operates from 20+ locations worldwide and serves industries such as automotive, consumer goods, and life sciences.