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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed Engineer (Agentic AI) in Brazil.
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. The role spans architecture design, full-stack implementation, and deployment within regulated enterprise infrastructures. You will build and integrate agentic systems across platforms, ensuring reliability, governance, and measurable business impact. Operating as a trusted technical advisor, you will collaborate closely with engineering, data, security, and executive stakeholders. This position combines deep engineering execution with real-world client impact in fast-evolving AI environments, requiring autonomy, adaptability, and strong problem-solving skills.
Accountabilities:
- Lead technical discovery sessions with enterprise clients to define agentic AI use cases and translate business problems into measurable engineering outcomes.
- Design end-to-end architectures for agentic systems, selecting appropriate platforms and ensuring alignment with client infrastructure, governance, and compliance requirements.
- Develop production-grade code and deploy solutions within client environments, including CI/CD pipelines, source control systems, and enterprise release processes.
- Build and optimize retrieval-augmented generation pipelines, prompt engineering frameworks, agent orchestration, and human-in-the-loop controls.
- Implement secure agent execution mechanisms, including permission controls, audit trails, approval gates, and rollback capabilities for system actions.
- Design and maintain evaluation and observability frameworks to monitor system performance, accuracy, latency, drift, and reliability in production.
- Lead system cutover, production stabilization, and structured handover to support teams, while remaining available for escalation and architectural guidance.
- Collaborate with cross-functional stakeholders and convert field learnings into reusable frameworks, accelerators, and reference architectures.
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.
- Availability for occasional travel (~25%) for client engagement.
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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