AI Engineer – Agentic Applications

Kognit - Committed to Transforming

. Develop specialist agents coordinated by a supervisor, with agentic loops (ReAct) and auditable decision logging.

Posted 10/2/2026contractRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and integrating LLM applications with a focus on security, observability, and compliance. Proficient in programming with Python and C#/.NET, and experienced in systems integration and REST API design.

Highest-signal resume keywords

Python ProgrammingC#/.NET DevelopmentLLM Application DevelopmentREST API DesignAzure OpenAI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ProgrammingSystems IntegrationPrompt EngineeringAgent OrchestrationTestingVersion ControlData SecurityIdempotencyOAuth2 AuthenticationAuditing

Soft Skills

CommunicationCollaboration

Tools & Technologies

LangChainSemantic KernelAzure Service BusKafkaOpenAPILangSmith

Industry Keywords

Data ScienceComputer ScienceStatisticsEngineeringMathematicsEconomicsRegulated EnvironmentsLGPDHITLMulti-Agent Patterns

Tech Stack

Tools & technologies

AzureKafkaPythonReact.NET

About the role

Key responsibilities & impact

Develop specialist agents coordinated by a supervisor, with agentic loops (ReAct) and auditable decision logging.
Build MCP Servers that connect agents to operational APIs (.NET) and ML models through OpenAPI contracts.
Implement the MCP Host using LangChain / Semantic Kernel and LLMs via Azure OpenAI.
Implement Human-in-the-Loop (HITL) workflows for high-impact decisions.
Ensure agentic security: per-agent identity (OAuth2), tool-level scoping, idempotency, prompt-injection sanitization, and PII leakage prevention.
Version prompts (PromptOps) and instrument agent observability (LangSmith or similar).
Integrate with event-driven architecture (Azure Service Bus / Kafka).

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Economics, or a related field.
English or Spanish proficiency (international client).
Strong programming skills (Python and/or C#/.NET), including testing, contracts, version control, and readable code.
Experience building LLM applications: tool/function calling, agent orchestration, prompt engineering, and handling nondeterministic behavior.
Systems integration experience: consuming and designing REST APIs (OpenAPI/Swagger), OAuth2 authentication, idempotency, and webhooks/callbacks.
Secure LLM-driven data access—for example, natural language to query with scope control, validation, and auditing.
Familiarity with LLM application security, including prompt injection, data leakage, and tool-level permission controls.
Nice to have: MCP (Model Context Protocol), LangChain or Semantic Kernel, Azure OpenAI, multi-agent patterns, HITL, LangSmith or similar, Kafka/Azure Service Bus, the .NET ecosystem, and experience in regulated environments (LGPD and auditing of automated decisions).

Benefits

Comp & perks

Contractor arrangement (PJ); we seek long-term partnerships.
Remote work.
8-hour workday (168 hours per month).
Time bank reconciled every four months, with positive hours paid out.
Variable compensation after four months of contract.
Flexible benefits card: R$700.00 monthly food allowance on a Flash card.
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 after 8 years of contract.
Birthday Friday: one day off during your birthday month.
Wellhub partnership.
Open English partnership.
FIAP partnership.
Partnerships with clinics and psychological services.