20 publicaciones de empleo destacadas de data software engineer en desde casa (¡Están contratando!)

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.

Are you a fit?

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.

Qualifications:

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

Nice-to-have

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

Why You'll Love This Role

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

What We Offer

A High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards

Specific benefits are determined by employment type and location. Find out more about our culture here

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