Remote Engineer : in (m / w / d)

AddanEx; A distancia; EUR 50.000 - 70.000; A tiempo parcial

Descripción de la vacante

A technology firm is seeking an AI Engineer to design and implement agentic systems remotely. You will work with diverse technologies like Python, LangGraph, and AWS Bedrock to create secure and efficient automations. Candidates should have strong Python skills along with experience in orchestration tools and data handling practices. This is an opportunity to make a measurable impact on production systems with real-world applications.

Formación

• Experience with TypeScript is a plus.
• Practical experience with orchestration tools is desired.
• Solid understanding of data quality and embedding techniques.

Responsabilidades

• Design and implement agent architectures in Python.
• Build frameworks and other tools for automations.
• Apply security best practices for data handling.

Conocimientos

Python

Async Programming

Testing

Packaging

TypeScript

Herramientas

LangGraph

LangChain

n8n

AWS Bedrock

Airflow

Prefect

Temporal

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)