Senior AI Agent Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 35d ago
The date the source published, not the day we noticed it (2026-08-10). Last seen at its source just now.
Is it remote?
Argentina based Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,062–7,250/mo
Middle 50% of 8 listings that do state pay — Engineering · Senior · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 25d ago · last seen just now
The listing
Senior AI Agent Engineer
We are
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