Engenheiro(a) de IA - Aplicações Agênticas (Pleno)

BrazilRemoteFull-timemid

OtherEngenheiro

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Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro(a) de IA - Aplicações Agênticas (Pleno) based in Brazil.

Technical Tools

OtherEngenheiro

This role is an opportunity to build advanced AI-powered applications using Generative AI, LLMs, and agentic systems. You will design and develop specialized AI agents capable of coordinating complex workflows and making traceable decisions. The position combines software engineering, AI orchestration, system integration, and application security. You will work with technologies such as MCP, LangChain, Semantic Kernel, and Azure OpenAI. The role also involves event-driven architectures, observability, and human oversight for high-impact decisions. It is an ideal environment for professionals who want to turn emerging AI technologies into scalable, secure, and high-impact solutions.

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

~1 min read

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.