Sr. Machine Learning (AiAgents)

NTD Software; Santa Cruz de Tenerife; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading tech startup seeks a Founding Full-Stack AI / ML Engineer to innovate within their agent-based AI platform. The ideal candidate will build advanced AI systems, lead architectural decisions, and integrate diverse data sources. This role offers a unique opportunity to work closely with the founder and influence product evolution.

Formación

• Strong Python skills and hands-on experience with LangChain or other agentic frameworks.
• Experience in multi-agent systems and cloud deployment.
• Adaptable self-starter with product intuition and speed.

Responsabilidades

• Build multi-agent systems with reasoning and autonomous action.
• Integrate with third-party APIs and optimize inference pipelines.
• Lead architectural decisions and rapid prototyping.

Conocimientos

Python

LangChain

LlamaIndex

Multi-agent systems

Tool calling

Task planning

Context-aware systems

Cloud deployment

Adaptability

Educación

Background in systems engineering

Herramientas

GCP

AWS

Descripción del empleo

We’re now hiring a Founding Full-Stack AI / ML Engineer to help shape and scale the core of our agent-based AI platform. You’ll work side-by-side with the founder on roadmap execution, rapid prototyping, and evolving the product based on real-world use.

Responsibilities

• Build multi-agent systems with reasoning, autonomous action, and dynamic tool use
• Implement Model Context Protocol (MCP) strategies to manage multi-source and multi-modal data
• Integrate with third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators
• Optimize inference pipelines and agent orchestration workflows
• Lead architectural decisions and rapid prototyping cycles
• Experiment with prompt chaining, tool calling, embeddings, and vector search

Requirements :

• Strong Python skills and hands-on experience with LangChain, LlamaIndex, or other agentic frameworks
• Proven experience with multi-agent systems, tool calling, task planning, or context-aware systems
• Familiarity with MCP, RAG, and handling structured + unstructured data
• Background in cloud deployment (GCP, AWS, etc.) and systems engineering
• Self-starter with strong product intuition, speed, and adaptability
• Hands-on with frameworks like AutoGen, CrewAI, OpenAgents, or ReAct
• Experience blending structured and unstructured data into AI pipelines
• Prior experience at an early-stage startup or as part of a technical founding team

If you're excited about real-world AI that acts—not just chats—this is your moment. Apply now.

J-18808-Ljbffr