Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Key Responsibilities
- Design, develop and deploy machine learning models and AI services using Python, FastAPI and related frameworks;
- Build and implement autonomous AI agents and multi-agent systems that can collaborate to solve complex tasks, make decisions and execute workflows with minimal human intervention;
- Develop and optimize prompt engineering strategies for various use cases;
- Collaborate with the product team to understand business requirements and translate them into technical solutions;
- Build and maintain containerized AI services using Docker and create scalable AI pipelines for content generation;
- Develop and maintain RESTful APIs and microservices to integrate AI models into our platform;
- Monitor and optimize AI model performance to improve accuracy, scalability and user experience;
- Conduct experiments, perform data analysis and provide insights to enhance model performance;
- Stay updated on the latest advances in AI/GenAI technologies and proactively suggest platform improvements;
- Participate in code reviews, unit tests and documentation to ensure high quality products delivery.
- Bachelor’s degree in computer science, engineering, or similar field;
- Experience with generative AI models and prompt engineering for LLMs;
- Strong programming experience in Python and relevant libraries/frameworks;
- Experience with FastAPI or similar frameworks;
- Practical knowledge of Docker containerization;
- Knowledge of machine learning algorithms, deep learning architectures and natural language processing (NLP) techniques;
- Fluency in English (both written and spoken);
- Analytical thinker with intellectual curiosity and a systematic approach to problem-solving;
- Strong believer in teamwork and collaboration.
- Experience with MLOps/LLMOps concepts and CI/CD pipelines;
- Knowledge of cloud computing platforms, particularly AWS;add add what you’ll
- Experience with vector databases and RAG frameworks (LlamaIndex, LangChain);
- Background in NLP or computational linguistics;
- Experience with monitoring and observability tools;
- Young, dynamic, and proactive working environment.
- Hybrid work. We do everything we can to adapt to flexibility.
- Fun. Unexpected team building events and happy hours with colleagues, just to name a few of the initiatives.
Contents is a leading Italian scale-up providing an AI-powered content creation platform used by global brands in publishing, retail, luxury, financial services or automotive. Our platform leverages LLMs to enable personalized content creation and seamless CMS/CRM/Social integration. Contents is backed by leading European and American venture capital firms and is rapidly expanding its global presence and product offerings.
Contents is an equal opportunity employer. We evaluate candidates regardless of gender, ethnicity, sexual orientation, religion, or disability.
Upload CV/Resume Allowed Type(s): .pdf, .doc, .docx
By using this form you agree with the storage and handling of your data by this website. Privacy Policy
Key Skills
Ranked by relevanceReady to apply?
Join Contents and take your career to the next level!
Application takes less than 5 minutes

