AI Engineer

• Design and deploy production-ready GenAI solutions, including RAG systems, intelligent assistants, and agentic workflows.
• Engineer AI agent behavior, including tool use, context management, memory, routing, failure handling, and human oversight.
• Integrate LLMs, APIs, enterprise applications, and data sources while balancing performance, latency, and cost.
• Build evaluation frameworks, automated tests, and quality controls to measure AI reliability and detect regressions.
• Monitor, troubleshoot, and continuously improve AI capabilities in production.
• Document reusable engineering patterns and enable client teams to maintain and extend deployed solutions.
• Collaborate with Software Engineers, Data Engineers, Architects, and Governance specialists.

• Hands-on experience designing, developing, and deploying production-ready GenAI and LLM-based solutions.
• Proven experience with RAG architectures, AI agents, and multi-step intelligent workflows.
• Experience evaluating, monitoring, and optimizing AI systems for reliability, performance, and cost.
• Strong software engineering background, including API development, testing, and enterprise integrations.
• Strong Python programming and software development fundamentals.
• LLM integration, prompt engineering, embeddings, retrieval, and grounding techniques.
• AI agent orchestration, tool calling, context management, memory, and human-in-the-loop workflows.
• LLM evaluation, automated testing, observability, and production monitoring.
• Familiarity with cloud platforms (Azure, AWS, or GCP), CI/CD, and LLMOps/MLOps practices.
• Experience with LangGraph, LangChain, LlamaIndex, or Semantic Kernel is nice to have.
• Knowledge of multi-agent systems, multimodal AI, fine-tuning, or open-source models is nice to have.
• Experience integrating AI with CRM, ERP, MCP, or enterprise automation platforms is nice to have.
• Consulting experience or exposure to regulated industries is nice to have.

• International and multicultural projects.
• Continuous learning and professional development.
• Career growth and internal mobility opportunities.
• A collaborative, innovative, and entrepreneurial culture.
• Local benefits and working arrangements will be confirmed before publication.