About Us
Artificial Intelligence has fundamentally changed how software is built. At Tauniqo, we are leveraging this shift to create the future of corporate training. We are in a high-growth phase, building an elite product team: fast, high-performance, and talented.
We are looking for an AI Agent Engineer who specializes in LLM orchestration and agentic workflows. We aren't looking for someone to train models from scratch;
we need an architect who can masterfully "wire" the best existing models into sophisticated, autonomous systems that drive our platform's intelligence.
The Role
We value product ownership and technical depth. You will not just be making simple API calls;
you will be designing, building, and refining complex multi-agent systems that serve as the "brain" of our backend.
You will face high-level architectural challenges: orchestrating collaborative agent loops, optimizing reasoning latency, managing long-term memory, and ensuring our AI behaves predictably in a production environment. We need someone who lives and breathes the LLM orchestration ecosystem and knows how to turn a raw prompt into a reliable, goal-oriented digital worker.
Tech Stack & Tools
* Backend: Python (FastAPI/django).
* Orchestration: Deep expertise in LangGraph, LangChain.
* Observability: Langfuse for tracing, evaluation, and prompt management.
* Models: Advanced integration with OpenAI, Anthropic, and Gemini APIs.
* Vector Infrastructure: RAG.
Requirements
* Agentic Expertise: Proven experience building and deploying production-grade AI agents that use tools, maintain state, and handle multi-step reasoning.
* Orchestration Mastery: Extensive hands-on experience with LangGraph (or similar graph-based frameworks) to build cyclic, controllable agent workflows.
* API Deep-Dive: Expert-level knowledge of the major LLM APIs—understanding specific parameter tuning (temperature, top-p), function calling/tool use, and vision capabilities.
* RAG & Memory: Deep understanding of Retrieval-Augmented Generation pipelines and strategies for persistent agent memory and context window optimization.
* Systematic Prompt Engineering: Ability to craft, version, and evaluate prompts that consistently produce structured, machine-readable outputs (JSON) for backend consumption.
* Software Engineering: Strong Python skills. You write clean, modular, and scalable code that integrates seamlessly into a modern backend.
Location & Setup
* Hybrid: 3 days in the office, 2 days from home.
* Office: Carrer de la Llacuna, 162, Sant Martí, 08018 Barcelona.