Forward Deployed Engineer (Agentic AI)

Role Overview

This is a highly hands-on, client-embedded engineering role focused on designing and delivering production-grade agentic AI systems for enterprise environments. You will work directly with large organizations to translate complex business challenges into scalable AI-driven solutions that operate in real production settings.

What You Will Do

Lead technical discovery sessions, design end-to-end architectures, develop production-grade code, deploy solutions, build and optimize retrieval-augmented generation pipelines, implement secure agent execution mechanisms, design and maintain evaluation and observability frameworks, and lead system cutover and production stabilization.

Why It Might Be a Fit

This position combines deep engineering execution with real-world client impact in fast-evolving AI environments, requiring autonomy, adaptability, and strong problem-solving skills.

Requirements

• 8+ years of software engineering experience in production environments, with strong exposure to enterprise systems
• 2+ years of hands-on experience delivering AI/ML or LLM-based systems into production, including agentic AI solutions
• Proven experience working with Fortune 500 or Global 2000 clients in complex, ambiguous environments
• Strong proficiency in Python plus at least one additional language such as Java, TypeScript, Go, C#, or Scala
• Deep understanding of agentic AI concepts, including RAG, embeddings, vector databases, orchestration, and prompt engineering
• Experience with enterprise systems such as SAP, Oracle, ServiceNow, Salesforce, Workday, or similar platforms
• Strong knowledge of system integration patterns (REST, event-driven architectures) and identity protocols (OIDC, SAML)
• Experience with AI observability and evaluation frameworks, including hallucination detection, drift monitoring, and performance metrics
• Familiarity with agent platforms such as AWS Bedrock, Azure AI, Google Vertex AI, or ServiceNow AI
• Experience with secure agent tool execution, including governance, scoped permissions, and auditability
• Strong communication skills with ability to engage both technical teams and executive stakeholders
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience

Benefits

• Fully remote or hybrid work model based in Brazil (São Paulo office option available)
• Opportunity to work on cutting-edge agentic AI systems with global enterprise clients
• High-impact role directly influencing production AI deployments in real-world environments
• Exposure to multiple enterprise platforms and advanced AI architectures
• Career growth in a rapidly evolving field at the intersection of AI and enterprise engineering
• Collaborative, innovation-driven environment with strong technical ownership
• Opportunity for international collaboration and client-facing engineering experience