Senior AI Agent Engineer 

Wizeline is a global AI-native technology solutions provider that develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there's no limit to what we can achieve.

We're looking for a Senior AI Agent Engineer with a passion for building production-grade, tool-augmented AI agents that blend cutting-edge LLM techniques with solid software-engineering discipline. In this role, you'll design multi-step reasoning pipelines, wire them to business systems, and harden them for scale, safety, and maintainability — helping enterprise customers launch conversational agents that solve real problems, take real actions, and comply with real-world policies.

You'll play a key role in agent design and delivery, tool and data integration, LLM orchestration and planning, and continuous optimization — owning the full agent development life-cycle from scoping through monitoring and iterative tuning.

If you're passionate about AI R&D, agentic systems, and building reliable, guard-railed AI products, we'd love to meet you.

• Excellent communication and collaboration skills. English B2 Advanced or C1
• 5+ years of software engineering experience in production environments (TypeScript/Node, Go, or Python) with strong API design, testing, and debugging habits
• Hands-on LLM experience (GPT, Claude, Gemini, or fine-tuned OSS models): prompt engineering, function/tool calling, model selection, and evaluation
• Retrieval-Augmented Generation (RAG): designing embedding pipelines and semantic search with Pinecone, Weaviate, etc.
• Agent orchestration expertise: LangChain/LangGraph, OpenAI Agents SDK, CrewAI, or equivalent frameworks for tool-augmented reasoning loops
• ML-/DevOps literacy: containerization, CI/CD, GPU/AI infra, caching, automated evals for nondeterministic systems
• Experience enforcing security guardrails & PII protection in user-facing AI products

• Real-time/voice agent delivery (e.g., SSE or WebSockets)
• Familiarity with emerging multi-agent protocols (MCP, A2A) or supervisor/critique agent patterns
• Domain experience in e-commerce, fintech, telecom, or large-scale customer support
• Prior work with automated prompt/agent regression testing frameworks

• Build cutting-edge, tool-augmented AI agents at the intersection of AI R&D and backend engineering
• Work on multi-model orchestration, agentic reasoning loops, and enterprise-grade AI systems
• Collaborate with highly skilled engineers in an AI-native technology company
• Influence technical decisions and contribute to AI engineering best practices
• Enjoy continuous learning, professional development, and global collaboration opportunities