Engenheiro(a) de IA - Aplicações Agênticas (Pleno)
Accountabilities: Develop specialized AI agents coordinated by supervisors, implementing agentic loops such as ReAct and maintaining auditable records of decisions and actions.
Build MCP Servers that connect AI agents with operational APIs and machine learning models through well-defined OpenAPI contracts.
Implement MCP Hosts using frameworks such as LangChain or Semantic Kernel and integrate LLM capabilities through Azure OpenAI.
Design and implement Human-in-the-Loop workflows for decisions that require human validation, oversight, or intervention.
Establish secure agentic architectures, including agent-specific identities, OAuth2 authentication, tool-level permissions, idempotency, prompt-injection protection, and safeguards against PII leakage.
Apply PromptOps practices by versioning prompts and implementing agent observability through LangSmith or similar platforms.
Integrate AI applications with event-driven architectures using technologies such as Azure Service Bus and Kafka, while ensuring reliable communication between services.
Requirements
Bachelor’s or postgraduate education in Data Science, Computer Science, Statistics, Engineering, Mathematics, Economics, or a related field.
Professional proficiency in English or Spanish, with the ability to communicate effectively in an international client environment.
Strong programming skills in Python and/or C#/.NET, including experience with testing, version control, software contracts, and writing maintainable, readable code.
Hands-on experience developing LLM-powered applications, including tool or function calling, agent orchestration, prompt engineering, and strategies for managing non-deterministic model behavior.
Solid understanding of system integration and REST API development or consumption, including OpenAPI/Swagger, OAuth2 authentication, idempotency, webhooks, and callbacks.
Experience enabling secure LLM access to data, including natural-language-to-query workflows with appropriate scope controls, validation, permissions, and auditability.
Understanding of application security for LLM-based systems, including prompt injection, data leakage, and permission management at the tool level.
Experience with MCP, LangChain or Semantic Kernel, Azure OpenAI, multi-agent architectures, Human-in-the-Loop patterns, agent observability, Kafka, Azure Service Bus, or .NET is considered a strong advantage.
Familiarity with regulated environments, LGPD requirements, and auditing of automated decisions is also valuable, along with a proactive, analytical, collaborative mindset and a strong interest in emerging AI technologies.
Benefits
PJ contractor model with a focus on building long-term professional partnerships.
Fully remote work.
8-hour workday, totaling 168 hours per month.
Bank of hours with quarterly settlement and payment of positive balances.
Variable compensation after four months of contract.
Flexible benefits card with R$700 per month for food allowance through Flash.
Paid time off: 7 consecutive days after 1 year of contract, 15 days after 2 years, 21 days between 5 and 7 years, and 30 days from 8 years onward.
Birthday month day off through the “Sexta Presente” benefit.
Wellhub partnership.
Open English partnership.
FIAP partnership for professional development.
Partnerships with clinics and psychology services.
Opportunities to work with innovative AI technologies and challenging digital solutions in an international environment.
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! Why Apply Through Jobgether?
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