Internship in AI engineering at Infobip, focusing on AI/ML solutions and production-ready services.
Responsibilities
Build and experiment with AI/ML solutions using Python, Jupyter, and libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers
Develop production-ready services in Python, building scalable and maintainable APIs with FastAPI
Work with large datasets and learn the end‑to‑end flow of data collection, manipulation, and usage
Design and build agentic workflows using LLMs, tools, and APIs
Integrate with leading AI providers for text, image, and multimodal use cases
Requirements
Final‑year student in a relevant field (e.g. Software Engineering, Computer Science, Mathematics, Data Science)
Nice to have: Advanced context engineering practices
Gain practical experience and learn from experienced mentors by working on real, data-driven problems across the full AI engineering lifecycle.
Responsibilities
Build and experiment with AI/ML solutions using Python, Jupyter, and libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers
Develop production-ready services in Python, building scalable and maintainable APIs with FastAPI
Work with large datasets and learn the end-to-end flow of data collection, manipulation, and usage
Design and build agentic workflows using LLMs, tools, and APIs
Integrate with leading AI providers (e.g. OpenAI, Anthropic, Google, open-source models) for text, image, and multimodal use cases
Requirements
Final-year student in a relevant field (e.g. Software Engineering, Computer Science, Mathematics, Data Science)
AI DevOps engineer die de bouwstenen van het AI-team tot een werkend product verbindt en zorgt dat dit betrouwbaar en observeerbaar in productie draait, met een focus op generatieve AI oplossingen voor het Bezwaar team.
Responsibilities
Adviseren van het ontwikkelteam in ontwerp en integratie
Koppelen van AI-services binnen het bestaande IT-landschap
Beheren van de uitrol via CI/CD
Ontwikkelen van ontbrekende centrale componenten
Realiseren en beheren van integraties, workflows, deployment en monitoring van GenAI-oplossingen
Diseñar, desarrollar y evolucionar soluciones de software e Inteligencia Artificial robustas, escalables, seguras y preparadas para producción, contribuyendo a las capacidades de IA Generativa, asistentes virtuales y sistemas agénticos del dominio de Data & IA sobre AWS.
Responsibilities
Diseñar y desarrollar soluciones de IA Generativa, asistentes virtuales y arquitecturas agénticas.
Construir componentes backend y servicios con Python, Node.js, TypeScript, FastAPI, APIs y arquitecturas de microservicios.
Diseñar workflows donde agentes puedan razonar, utilizar herramientas, consumir APIs e interactuar con sistemas empresariales con controles adecuados.
Implementar soluciones con LLMs, RAG, prompt engineering, gestión de contexto, MCP y orquestación de agentes utilizando Strands, LangGraph, LangChain, LlamaIndex o tecnologías equivalentes.
Diseñar integraciones entre agentes, APIs, plataformas cloud, datos y servicios internos, participando en decisiones de arquitectura, code reviews y estrategia de integración.
Requirements
Formación universitaria o terciaria en Sistemas, Informática, Ingeniería de Software, Ciencias de la Computación o disciplinas afines.
Design, build, and evolve full stack capabilities for an AI-powered insurance document analysis platform, partnering with product, design, and fellow engineers to turn complex business needs into secure, reliable experiences.
Compensation
The applicable base salary range for this role is $106,000 to $159,500.
Responsibilities
Design, build, and evolve full stack capabilities for an AI-powered insurance document analysis platform
Partner with product, design, and fellow engineers to turn complex business needs into secure, reliable experiences
Contribute to document processing, coverage-gap analysis, quote comparison, and real-time progress flows
Contribute to thoughtful code reviews, automated testing, observability, and technical mentorship
Develop essential backbone for cloud and hosting solutions with a focus on Identity and Access Management (IAM) and Zero-Trust architectures, contributing to digital sovereignty and platform security.
Locations (2)
Berlin, Germany
Germany
Responsibilities
Conceiving, developing, and operationally managing scalable Core Services and providing secure APIs (RESTful, OpenAPI, gRPC) in Edge and Zero-Trust environments
Architecture design and continuous development of Identity and Access Management systems for seamless integration into the secunet cloud landscape
Managing and optimizing Cloudflare infrastructure including CDN operation and traffic management
Implementing and optimizing automated CI/CD pipelines (GitLab CI) for high code quality and security
Technical coordination with Product Owners, Architects, and other specialists to translate business requirements into resilient software architectures
Builds the data pipelines behind how guests and crew experience the restaurant, integrating multi‑vendor sources into trusted, privacy‑safe datasets for reporting, data science, and restaurant performance applications.
Responsibilities
Build ingestion from customer satisfaction survey vendors and in‑app surveys
Integrate social listening data as a guest experience source
Build a reusable vendor ingestion framework
Model experience data in BigQuery
Prepare free‑text feedback for NLP and sentiment models
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
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