AI engineer

Barcelona Supercomputing Center; Barcelona; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Restaurant tickets

Private health insurance

Relocation support

Job summary

Barcelona Supercomputing Center ищет инженера по искусственному интеллекту для разработки и поддержки продакшн‑готовых решений на основе генеративного ИИ. Ваша роль будет состоять в создании API, бэкенда и интеграций, работе с RAG‑пайплайнами и управлением контекстом и безопасностью систем.

Требуется опыт работы с LLM, Docker, Git, LangChain и облачными платформами. Работа в команде с исследователями, менеджерами проектов и бизнес‑заинтересованными сторонами.

Qualifications

• Степень бакалавра или магистра в области CS/AI или смежной дисциплины.
• 3–5 лет опыта в разработке ПО, бэкенда или AI-приложений.
• 2+ лет опыта разработки решений на LLM и генеративном ИИ.
• Опыт разработки продакшн‑приложений на Python и современных практик разработки.

Responsibilities

• Проектирование и развитие продакшн‑готовых генерирующих AI‑приложений и сервисов.
• Разработка API, бэкенд‑сервисов, интеграций и пользовательских AI‑функций.
• Реализация RAG‑пайплайнов и агентов на базе AI.

Skills

LLMs

RAG

Python

API разработка

CI/CD

Education

Бакалавр/Магистр в CS/AI

Tools

LangChain

LlamaIndex

Docker

Git

Semantic Kernel

Job description

Описание:

The AI Factory is expanding its portfolio of generative AI services and solutions to support researchers, public institutions, startups, SMEs, and industry partners in adopting artificial intelligence effectively and responsibly. To accelerate the delivery of these services, we are looking for an AI Engineer – Generative AI Solutions who will transform validated AI concepts into robust, scalable, and production‑ready applications. The role combines strong software engineering capabilities with expertise in large language models, retrieval systems, AI agents, and modern AI application architectures.

Задачи:

Design, develop, and maintain production‑ready generative AI applications and services. Build APIs, backend services, integrations, and user‑facing AI functionalities. Implement Retrieval‑Augmented Generation (RAG) pipelines, prompt orchestration frameworks, tool calling mechanisms, and agent‑based workflows. Design and optimize context management strategies, including embeddings, semantic retrieval, grounding, memory management, and knowledge integration. Evaluate and improve AI system performance in terms of accuracy, reliability, latency, safety, scalability, and cost efficiency. Integrate AI solutions with enterprise platforms, internal systems, authentication mechanisms, and external data sources. Implement monitoring, observability, logging, tracing, guardrails, and operational controls for AI services. Develop reusable software components, frameworks, templates, and best practices to accelerate AI solution delivery. Collaborate with AI engineers, researchers, project managers, and business stakeholders to translate requirements into technical solutions. Contribute to the definition of AI engineering standards, software architecture guidelines, and operational procedures. Support deployment, testing, troubleshooting, and continuous improvement of AI services throughout their lifecycle. Produce and maintain technical documentation for developed solutions, architectures, and operational processes.

Требования:

Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Telecommunications Engineering, Mathematics, Physics, or a related technical discipline. 3–5 years of experience in software engineering, backend development, or AI application development. 2+ years of hands‑on experience developing solutions based on Large Language Models (LLMs) and Generative AI technologies. Proven experience building and deploying production‑grade applications using Python and modern software development practices. Experience with Retrieval‑Augmented Generation (RAG), vector databases, embeddings, semantic search, and knowledge retrieval systems. Experience designing and implementing APIs, microservices, and system integrations. Knowledge of AI orchestration frameworks and agent‑based architectures (e.g., LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar). Experience working with cloud platforms and AI services (AWS, Azure, Google Cloud, OpenAI, Anthropic, or equivalent). Experience with software testing, observability, monitoring, logging, and production support. Understanding of LLM evaluation methodologies, prompt engineering, model limitations, hallucination risks, and AI quality assurance. Experience working with Git, CI/CD pipelines, containerization technologies (Docker), and modern software delivery practices. Strong analytical and problem‑solving skills, with the ability to translate business or research requirements into technical solutions. Experience working in multidisciplinary teams within research, innovation, technology, or product development environments. Strong software engineering and Generative AI development skills. Solid analytical and problem‑solving capabilities. Ability to design and deliver reliable, scalable, and maintainable AI solutions. Experience collaborating within multidisciplinary and international teams. Effective communication skills with both technical and non‑technical stakeholders. Proactive, autonomous, and results‑oriented mindset. Adaptability and willingness to learn in a rapidly evolving AI environment. Strong commitment to quality, innovation, and continuous improvement. Будет плюсом: Experience deploying AI solutions in enterprise, scientific, research, or public‑sector environments; Familiarity with MLOps, LLMOps, AI governance, responsible AI, and AI security practices; Experience with multi‑agent systems and autonomous AI workflows; Exposure to HPC, distributed computing, or large‑scale AI infrastructures; Contributions to open‑source projects, technical publications, or AI communities will be considered a plus

Условия:

We offer a full‑time contract (35h/week)

• good working environment
• highly stimulating environment with state‑of‑the‑art infrastructure
• flexible working hours
• extensive training plan
• restaurant tickets
• private health insurance
• support to the relocation procedures

Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement

Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona