Training & Content Engineer

AddanEx; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A technology company is looking for an AI Engineer to design and implement agentic systems remotely. You'll work with LLMs and orchestration frameworks to deliver secure automations. Responsibilities include developing architectures and applying best practices in security and data handling. Experience with tools like LangGraph, LangChain, and AWS is preferred. The ideal candidate will have strong Python skills and a solid understanding of data quality.

Formación

• Experience with TypeScript is a plus.
• Practical experience with orchestration tools like LangGraph or LangChain.
• Solid understanding of data quality and RAG patterns.

Responsabilidades

• Design and implement agent architectures and orchestrations in Python.
• Build automation frameworks with specified tools.
• Apply best practices for security and data handling.

Conocimientos

Python programming

Async programming

CI/CD practices

Data handling best practices

Herramientas

LangGraph

LangChain

AWS Bedrock

n8n

Descripción del empleo

AddanEx JOB POSTING :

Title : AI Engineer

Location : Remote

Type : Contract

Start Date : ASAP

English

We’re looking for an AI Engineer to design, implement, and maintain agentic systems for our clients. You’ll work across LLMs, orchestration frameworks, and data pipelines to deliver robust, observable, and secure automations.

Every project you take on will target production and client systems, with real use cases and measurable impact.

Responsibilities

• Design and implement agent architectures and multi-step orchestrations in Python
• Build with frameworks and runtimes such as LangGraph, LangChain, n8n, AWS Bedrock, and similar tools
• Implement tools, memory, retrieval, and planning strategies for reliable agent behaviour
• CI / CD, packaging, containerization, and deployment to cloud
• Instrument agents for observability : logging, tracing, evaluation, offline analysis, and guardrails
• Apply security, privacy, and safety best practices for data handling and model usage
• Strong Python skills, including async programming, testing, and packaging

Qualifications

• Experience with TypeScript (in addition to Python) is a plus, as it’s an emerging language in our stack
• Practical experience with LangGraph and/or LangChain, plus one or more of : n8n, AWS Bedrock, Airflow, Prefect, Temporal, or similar orchestration tools
• Solid data foundations : vector stores, embeddings, RAG patterns, chunking, indexing, and data quality
• Software engineering fundamentals : Git, code reviews, CI, containerization, cloud services (AWS preferred)