REMOTE
Main Responsibilities
- Design, train, and fine-tune generative and agentic AI models for SaaS applications.
- Develop scalable APIs to integrate AI models into workflows.
- Build LLMOps pipelines for model deployment, monitoring, and optimization.
- Use frameworks such as AutoGen, CrewAI, LangGraph, and LangChain for advanced solutions.
- Collaborate with internal teams and group companies to deliver customized solutions.
- Research and apply new techniques to improve AI performance and capabilities.
- Document processes, ensure reproducibility, and promote responsible AI practices.
Benefits
- Work directly with portfolio companies to drive innovation and generate real impact.
- Leverage cutting-edge AI tools to accelerate full stack development.
- Be part of a high-performance team within a long-term investment company.
- Competitive compensation package, benefits, and professional growth opportunities.
Required Knowledge
- Degree in Data Science, Computer Science, Engineering, or related fields;
- Solid experience with Python, PyTorch, TensorFlow, and Hugging Face (minimum 3 years);
- Hands-on experience with development, fine-tuning, and deployment of generative and agentic models;
- Knowledge of cloud platforms (preferably Azure) and distributed computing;
- Experience with MLOps frameworks (e.g., MLFlow, Azure ML) and LLMOps;
- Familiarity with agentic frameworks (AutoGen, CrewAI, LangGraph, LangChain);
- Fluency in English (spoken and written) for communication in a global environment.
Desired Knowledge
- Experience with multimodal AI (e.g., text-to-image and text-to-video generation);
- Knowledge of advanced fine-tuning techniques (LoRA, adapters);
- Deep understanding of agentic AI applied to SaaS.
Skills
- Critical thinking and solving complex problems;
- Clear technical communication with multidisciplinary teams;
- Initiative in researching and applying advanced techniques;
- Ethical responsibility and reproducibility in solutions;
- Adaptability to dynamic environments.
