Senior AI Agent Engineer

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Wizeline

1001 - 5000 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $43M Series B on 2018-03

Consulting • Healthcare • Marketing

Wizeline is a global technology services provider specializing in digital transformation. The company offers a wide range of services including product engineering, cloud and DevOps, data and AI, and design to help companies achieve high-impact innovation. Wizeline's offerings aim to enhance operational efficiency, improve customer experiences, and accelerate business outcomes through cutting-edge AI and agile methodology. They serve a variety of industries, such as media and entertainment, financial services, and healthcare, providing tailored solutions to meet specific market needs. Their focus on AI technologies and human-centric experiences positions them at the forefront of technology-driven business evolution.

📋 Description

• Design multi-step reasoning pipelines and connect them to business systems • Harden AI agents for scale, safety, and maintainability • Help enterprise customers launch conversational agents that solve problems, take actions, and comply with policies • Lead agent design and delivery • Integrate tools and data • Implement LLM orchestration and planning • Continuously optimize agents • Own the full agent development lifecycle from scoping through monitoring and iterative tuning • Build production-grade, tool-augmented AI agents • Work on multi-model orchestration, agentic reasoning loops, and enterprise-grade AI systems • Collaborate with engineers • Influence technical decisions and contribute to AI engineering best practices

🎯 Requirements

• Excellent communication and collaboration skills • English B2 Advanced or C1 • 5+ years of software engineering experience in production environments • Experience with TypeScript/Node, Go, or Python • Strong API design, testing, and debugging habits • Hands-on LLM experience with GPT, Claude, Gemini, or fine-tuned open-source models • Prompt engineering, function/tool calling, model selection, and model evaluation • Experience designing RAG embedding pipelines and semantic search using Pinecone, Weaviate, or similar tools • Agent orchestration expertise with LangChain/LangGraph, OpenAI Agents SDK, CrewAI, or equivalent frameworks • ML/DevOps literacy including containerization, CI/CD, GPU/AI infrastructure, caching, and automated evaluations for nondeterministic systems • Experience enforcing security guardrails and PII protection in user-facing AI products

🏖️ Benefits

• Continuous learning • Professional development • Global collaboration opportunities • Flexible and collaborative culture • Global opportunities • Total rewards • Specific benefits are determined by employment type and location

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