AI Engineer

Role Overview

As an AI engineer, you will design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI; build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP); integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards.

What You Will Do

Design, build, and deploy conversational agents using Azure AI Foundry, Microsoft Agent Framework, and OpenAI. Develop prompt strategies for context-aware, multi-turn dialogue. Implement structured error responses and graceful degradation in agent tool calls.

Why It Might Be a Fit

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first.

Requirements

• English level – B2 or higher
• 5+ years of experience in AI engineering and.NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).
• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

Benefits

• competitive salary
• comprehensive benefits
• great perks