Training & Content Engineer

AddanEx; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A forward-thinking tech company is seeking an AI Engineer to design and implement intelligent systems remotely. The ideal candidate will have strong Python programming skills and be familiar with orchestration frameworks and data pipelines. Responsibilities include implementing AI architectures and ensuring observability and security best practices. The position offers an exciting opportunity to work on impactful projects with real-world applications.

Formación

• Strong Python skills, including async programming and testing.
• Experience with TypeScript is a plus.
• Practical experience with orchestration tools like LangGraph or LangChain.

Responsabilidades

• Design and implement agent architectures and multi-step orchestrations in Python.
• Build with frameworks like LangGraph, LangChain, and AWS Bedrock.
• Apply security, privacy, and safety best practices.

Conocimientos

Python

async programming

TypeScript

LangGraph

LangChain

AWS Bedrock

data quality

Herramientas

n8n

Airflow

Prefect

Temporal

Descripción del empleo

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

Qualifications

• Strong Python skills, including async programming, testing, and packaging
• TypeScript experience (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)