Backend Software Engineer (Core Ai)

Goodweek
Madrid, Spain
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services User Authentication Software Quality Databases Continuous Integration Python (Programming Language) PostgreSQL Node.Js Software Product Management Software Architecture
+12 more
Simple Data Format TypeScript Data Ingestion ReactJS Delivery Pipeline Large Language Models Multi-Agent Systems Backend AI Platforms Git Flow Machine Learning Operations Automation Anywhere

Job description

At Goodweek, we’re building a next-generation AI tool designed to revolutionize business productivity.We are focusing on delivering a secure, scalable, and reliable system that supports real business use cases across different departments.The goal is to make AI practical, controlled, and truly embedded in how modern organizations operate.Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.Our team spans across France, Spain, and the United States, and our vision is backed by 6 international investment funds.To accelerate our growth, we’re looking for a talented Software Engineer to join our Engineering team and help us build an innovative product that will make a real impact on how thousands of users work every day.TasksAbout the roleAs a Backend Engineer, you’ll work on the core infrastructure that makes our AI platform fast, reliable, and scalable.You’ll be joining the Core AI team, responsible for the foundational layer of our AI product, covering orchestration, memory, low-level security, and system harness.This is a role for someone who thrives at the intersection of backend engineering and applied AI, thinking about latency, reliability, and model behavior all at once.What you’ll doYou’ll be tackling challenges across:AI orchestration: owning the core layer that coordinates AI workflows, model calls, multi-step reasoning, and multi-agent delegation, including RAG pipelines and knowledge basesLLM integration: integrating and tuning new LLMs into a production-grade backend, with a focus on security, guardrails, and evaluation (latency, response quality)Data ingestion & export: building robust pipelines and services to handle a variety of file formats reliably and at scaleContext & token optimization: designing strategies to maximize LLM efficiency, manage context windows, and keep costs in checkInfrastructure & observability: designing scalable APIs, automating deployment pipelines, monitoring, and testing to keep the platform reliable and performantArchitecture & engineering culture: participating in tech stack decisions, documenting technical knowledge, and continuously driving innovation across the AI platformRequirementsTechnical background5+ years of experience with Node.xqbhyrx js + TypeScript stackNestJS/React and PostgreSQL are a plusHands-on experience (or strong familiarity) with AI/ML integration (LLMs, RAG, or similar)Solid understanding of backend architecture, scalability, and security best practicesExperience with databases, authentication, and cloud platforms (AWS)Familiar with CI/CD, Git workflows, and agile methodologiesBonus: familiarity with other backend programming languages applied to AI (Python, Go…)Soft skillsStrong technical communicationAgile mindset focused on product and business valueAbility to document and defend architectural decisionsBalance between code quality and delivery speedTechnical English requiredBenefitsHealth insurance provided by the employerFlexible working hoursHybrid remote workDaily use of English through close collaboration with teams in the US and FranceOur office is situated in a lively innovation hub, offering access to local meetups, events, and a strong professional community.#J-*****-Ljbffr

Requirements

platformRequirementsTechnical background5+ years of experience with Node. xqbhyrx js + TypeScript stackNestJS/React and PostgreSQL are a plusHands-on experience (or strong familiarity) with AI/ML integration (LLMs, RAG, or similar)Solid understanding of backend architecture, scalability, and security best practicesExperience with databases, authentication, and cloud platforms (AWS)Familiar with CI/CD, Git workflows, and agile methodologiesBonus: familiarity with other backend programming languages applied to AI (Python, Go…)Soft skillsStrong technical communicationAgile mindset focused on product and business valueAbility to document and defend architectural decisionsBalance between code quality and delivery speedTechnical English requiredBenefitsHealth insurance provided by the employerFlexible working hoursHybrid remote workDaily use of English through close collaboration with teams in the US and FranceOur office is situated in a lively innovation hub, offering access to local meetups, events, and a strong professional community.

About the company

The goal is to make AI practical, controlled, and truly embedded in how modern organizations operate.Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.Our team spans across France, Spain, and the United States, and our vision is backed by 6 international investment funds.To accelerate our growth, we’re looking for a talented Software Engineer to join our Engineering team and help us build an innovative product that will make a real impact on how thousands of users work every day.TasksAbout the roleAs a Backend Engineer, you’ll work on the core infrastructure that makes our AI platform fast, reliable, and scalable.You’ll be joining the Core AI team, responsible for the foundational layer of our AI product, covering orchestration, memory, low-level security, and system harness.This is a role for someone who thrives at the intersection of backend engineering and applied AI, thinking about latency

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Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

45 sec

Working securely with Node.js path application programming interfaces

Sonya Moisset · World Congress 2023

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

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