Artificial Intelligence Engineer

AddanEx; A distancia; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A technology consultancy is seeking an AI Engineer to design and implement agentic systems with LLMs. You will integrate models like OpenAI and Google Gemini and develop reliable automations. Ideal candidates have 1–2 years of experience in complex automation, strong Python skills, and knowledge of orchestration tools. This remote role involves working in US time zones and offers a contract lasting 3-6 months with extensions available.

Formación

• 1–2+ years of hands-on experience building LLM-powered agents or complex automations.
• Strong Python skills, including async programming, testing, and packaging.
• Practical experience with LangGraph and/or LangChain, plus orchestration tools.

Responsabilidades

• Design and implement agent architectures and multi-step orchestrations in Python.
• Integrate and evaluate frontier models, such as Google Gemini and OpenAI.
• Author a reference agent template adopted across agents.

Conocimientos

Python programming

Experience with LLMs

TypeScript

Orchestration tools

Data handling best practices

Herramientas

LangGraph

LangChain

AWS Bedrock

n8n

Descripción del empleo

AddanEx JOB POSTING :

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 (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 [e-mail]