AI Engineer - Agentic Applications, Mid/Senior

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🕒 June 26

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Kognit - Committed to Transforming

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🤖 Artificial Intelligence

Software • B2B • Artificial Intelligence

Kognit is a company specialized in creating unique, tailored, and innovative digital solutions for the corporate market. With 18 years of experience, Kognit helps global companies leverage technology to positively transform their businesses, markets, and the world. The company coordinates and executes projects globally, delivering innovative and scalable software solutions that provide high added value. Kognit is committed to understanding business objectives and providing insights that assist clients in achieving positive transformations in their operations and markets.

📋 Description

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

🎯 Requirements

• 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) — testing, contracts, version control, readable code. • Experience building applications with LLMs: tool/function calling, agent orchestration, prompt engineering, and handling nondeterministic behavior. • Systems integration: consumption and design of REST APIs (OpenAPI/Swagger), OAuth2 authentication, idempotency, webhooks/callbacks. • Secure data access from LLMs — e.g., natural language → query with scope control, validation, and auditing. • Familiarity with LLM application security: prompt injection, data leakage, and permission control per tool.

🏖️ Benefits

• Remote work. • 8 hours per day (168 hours per month). • Time bank with quarterly settlement (payment for accrued positive hours). • Variable compensation after 4 months of contract. • Flexible benefits card: monthly meal allowance of R$ 700.00 (Flash card). • Paid time off: 7 consecutive days after 1 year of contract; 15 days after 2 years; 21 days between years 5 and 7; and 30 days after 8 years of contract. • Birthday day off (one paid day off during your birthday month). • Partnership with Wellhub. • Partnership with Open English. • Partnership with FIAP. • Partnerships with clinics and psychology services.