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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend & Ai Developer - **Company:** Omniaccess - **Location:** Palma, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Testing (Software), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Software Documentation, Databases, Cursor (Graphical User Interface Elements), Distributed Systems, Django Web Framework, Python (Programming Language), PostgreSQL, MongoDB, RabbitMQ, Ruby, Server Administration, Shell Script, Software Systems, Systems Integration, Web Applications, Web Application Frameworks, Private Cloud Environment, Cloud Platform System, GitHub Copilot, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Backend, Gitlab, Git, Fastapi, Containerization, Kubernetes, Information Technology, Non-relational Database, Machine Learning Operations, Docker, Programming Languages, Microservices - **Published:** August 30, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role Education, Certifications And Experience Bachelor's degree in computer science, Engineering, Mathematics, or a related field of study a plus. At least 3 years of experience in back-end development of web-based applications and distributed systems. Hands-on experience integrating LLM-based capabilities (RAG, tool / function calling, agentic workflows) into production services. Experience with cloud-native technologies (Docker, Kubernetes, etc.) and cloud computing platforms (AWS, Private Cloud). Skills & Mindset Strong proficiency in Python (our primary language) and in web frameworks such as Django, FastAPI, or Flask. Solid knowledge of relational and non-relational databases (PostgreSQL, MongoDB, TimescaleDB) and of writing efficient, scalable queries. Experience with micro-services and with real-time messaging and publish-subscribe architectures, ideally with RabbitMQ (our primary messaging broker). Practical command of LLMs, RAG, prompt and context engineering, and vector databases (e.g., Pinecone, Weaviate, pgvector). Fluency in AI-assisted development: everyday use of AI coding assistants and agentic coding tools (e.g., Claude Code, GitHub Copilot, Cursor) as a natural part of the design, coding, and review workflow. Self-driven problem solver. Capacity and willingness to learn new technologies. Technology passionate and excellence seeker. Desired Requirements English written and spoken. Experience defining evals, guardrails, and observability for AI-powered services. Knowledge of LLMOps / MLOps practices for deploying, evaluating, and monitoring models and agents in production. Experience with other back-end languages such as Go or Ruby. Experience working with Git, Gitlab, and Agile teams. Linux shell scripting and server administration. Coffee-lover and open-minded. ## Description We are looking for a Backend/AI Engineer with at least three years' experience designing and building cloud-native back-end systems, and hands-on experience integrating AI and LLM-powered capabilities, to join our awesome development team. The candidate will participate in the design, development, and testing of the company's portfolio software solutions, including both customer-facing services and internal tools. Being part of the development team, technology research and innovation will be a fundamental pillar in your activities. The Backend/AI Engineer must combine strong back-end engineering skills - micro-services, APIs, databases, and distributed systems - with practical experience building AI-driven features: LLM integrations, RAG pipelines, and agentic workflows - turning models and agents into robust, production-grade services. Your Mission As a Backend/AI Engineer, you will design and build the back-end services that power the OmniAccess product portfolio - and infuse them with AI capabilities. Building on a solid foundation of Python and distributed systems, you will own features end-to-end: from data models and APIs to LLM-powered and agentic components, deployed, monitored, and continuously improved in production. Key Responsibilities Write E2 (elegant*efficient), well-documented, and reusable code. Design, develop, and validate new micro-services covering new business requirements, including their APIs, data models, and integrations. Improve, modernize, and re-architect current company products and services; and participate in new feature definition and development for the portfolio. Develop AI-driven features powered by LLMs: RAG (retrieval-augmented generation), prompt and context engineering, tool / function calling, and agentic workflows using frameworks such as LangChain / LangGraph, LlamaIndex, or the Model Context Protocol (MCP). Design, develop, and validate the distributed, high-availability database architecture and the corresponding management services. Ensure the reliable and safe integration of AI capabilities into production systems, applying guardrails, evals, and observability. Take ownership of the full service lifecycle: design, development, testing, deployment, monitoring, and continuous improvement. Collaborate with cross-functional teams to integrate back-end and AI capabilities into existing systems and operations. Write software tests and collaborate with QA. Write both technical and user documentation., Breakfast, high-quality daily lunch at a very low cost, fruit and snacks all day long. Every Thursday you will have a free lunch with your colleagues. Gym and game room at your disposal. 50% subsidized lunch tickets in some Parc Bit restaurants. Continuous training and growth opportunities as the company expands. Career Growth:An opportunity to work in a high-growth area within a leading network solutions provider. Innovation-Driven Environment:Be part of Marlink's commitment to delivering next-generation solutions in connectivity and digital transformation. Global Exposure:Work with diverse, talented teams across different regions and sectors. Professional Development:Access to training, conferences, and resources to enhance skills and knowledge. OmniAccess is an equal opportunity employer committed to building a diverse and inclusive workplace. We are committed to ensuring that all individuals are treated with dignity and respect, and that everyone, regardless of race, ethnicity, gender, gender identity or expression, sexual orientation, age, religion, disability, or any other legally protected status, has fair and equal access to opportunities for growth, development, and success. We expressly encourage applications from qualified persons with disabilities. As part of our commitment to full inclusion, OmniAccess will assess and provide reasonable accommodations or adjustments, where needed and appropriate, and in accordance with applicable law, to ensure equal participation in the recruitment process, including applications, interviews, assessments and onboarding, as well as, where applicable, the performance of the essential functions of the role. Candidates who require a reasonable accommodation or adjustment during the recruitment process may contact our HR team confidentially at ******. Any information shared will be voluntary, treated confidentially and used only to manage the requested accommodation or adjustment and/or to comply with applicable legal obligations. We are also dedicated to upholding fairness and objectivity throughout our recruitment process. All hiring decisions are based solely on qualifications, relevant experience, skills, merit and alignment with the requirements of the role, ensuring a transparent and merit-based selection process for every candidate. #OMNIACCESS #J-*****-Ljbffr Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Coffee with Developers: David Heinemeier Hansson](https://www.wearedevelopers.com/videos/875-coffee-with-developers-david-heinemeier-hansson) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Agentic AI Systems for Critical Workloads](https://www.wearedevelopers.com/videos/1592-agentic-ai-systems-for-critical-workloads) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)