Artificial Intelligence Engineer

AddanEx; A distancia; EUR 45.000 - 65.000; A tiempo parcial

Descripción de la vacante

Una empresa innovadora está buscando un AI Engineer para diseñar y mantener sistemas automatizados. El rol incluye trabajar con modelos y herramientas avanzadas, además de integrar sistemas en la nube. Se requiere experiencia en Python y orquestación de procesos. Se valorará el conocimiento en TypeScript y herramientas como LangGraph. Esta es una excelente oportunidad para desarrollar soluciones que impacten directamente en los procesos de los clientes.

Formación

• 1-2+ años de experiencia práctica construyendo agentes impulsados por LLM.
• Fuertes habilidades en Python, incluyendo programación asíncrona.
• Experiencia práctica con LangGraph y/o LangChain.

Responsabilidades

• Diseñar e implementar arquitecturas de agentes y orquestaciones en Python.
• Integrar y evaluar modelos de frontera como Google Gemini y OpenAI GPT.
• Construir conectores a sistemas SaaS y empresariales.

Conocimientos

Experiencia en construcción de agentes impulsados por LLM

Fuertes habilidades en Python

Experiencia con herramientas de orquestación

Conocimientos de modelos de core como Gemini y OpenAI

Fundamentos de ingeniería de software

Herramientas

LangGraph

LangChain

AWS Bedrock

Descripción del empleo

AddanEx JOB POSTING :

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Title : AI Engineer

Location : Remote

Time Zone : The position includes work within US Time zones; you would be expected to be working and available for the client between 09 : 00 – 13 : 00 Pacific Time (18 : 00 – 22 : 00 CET European Time).

Type : Contract

Start Date : ASAP

Duration : 3-6 Months + Extensions

Utilisation : 40 Hours per week

Languages : English

Role overview :

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.

This is not a research-only role, and you won't be stuck in endless proof‑of‑concepts. Every project you take on will target production and client systems, with real use cases and measurable impact.

You’ll be joining a hands‑on team that thrives on solving challenging problems, shipping production‑grade systems, and pushing the boundaries of what AI can do in real business environments.

What you’ll do :

• 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
• Integrate and evaluate frontier models, e.g., Google Gemini, OpenAI GPT family, and Anthropic Claude
• Develop connectors to SaaS and enterprise systems via APIs, webhooks, queues, and events
• Implement tools, memory, retrieval, and planning strategies for reliable agent behaviour
• Author a reference agent template / internal SDK (LangGraph patterns, tool adapters, memory / plan primitives) adopted across agents
• Productionize prototypes : CI / CD, packaging, containerization, and deployment to cloud
• Instrument agents for observability : logging, tracing, evaluation, offline analysis, and guardrails
• Collaborate with client teams to capture requirements, run experiments, and iterate quickly
• Facilitate design thinking workshops to understand business requirements, map user journeys, and translate needs into agent capabilities and success metrics
• Apply security, privacy, and safety best practices for data handling and model usage

Who you are :

• 1–2+ years of hands‑on experience building LLM‑powered agents or complex automations
• Strong Python skills, including async programming, testing, and packaging
• Experience with TypeScript xcskxlj (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
• Working knowledge of core model ecosystems : Gemini, OpenAI, and Claude (prompting, tool use, structured output, function calling)
• 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)
• Familiarity with ADK (Agent Development Kit) or equivalent frameworks for building and standardizing agent behaviours

If you are interested in this opportunity, please apply now with your updated CV in MS Word format to