LLMs & Applied AI Research
Pubblicato il 26-09-2026 - Hermes Corporate in Torino
Hermes Corporate European Union (Remote)
Massimizzi le sue possibilità di successo assicurandosi che il suo CV e le sue competenze corrispondano ai requisiti di questa posizione.
At Hermes Corporate, we have been supporting companies in digital transformation for over 20 years through IT consulting, outsourcing services, and digital talent development.
Through our WINGS 2 FLY consulting services, we promote a modern digital culture by helping organizations grow with skilled professionals, dedicated teams, and innovative digital solutions.
We are currently looking for an AI Specialist with strong expertise in Large Language Models (LLMs), applied AI research, and rapid prototyping. In this role, you will focus on developing, fine-tuning, and evaluating AI/ML models while exploring innovative approaches in LLMs, RAG architectures, and agentic systems.
You will work hands-on with open-source models such as LLaMA, Mistral, and Falcon, building proofs of concept (POCs) and validating AI use cases before collaborating with AI Engineers to transition successful solutions into production environments.
Key Responsibilities:
• Develop, train, and evaluate AI/ML models, with a strong emphasis on LLMs
• Work with open-source LLMs such as LLaMA, Mistral, and Falcon
• Design and build proofs of concept (POCs) to validate AI use cases and technical approaches
• Fine-tune models for domain-specific applications
• Conduct applied research on LLMs, RAG, and agentic systems
• Analyze model performance and propose improvements
• Stay up to date with advancements in AI and machine learning
• Collaborate with AI Engineers to support productionization efforts
Required Qualifications:
• 3+ years of experience in developing AI solutions
• Master’s degree or PhD in AI, Machine Learning, or related field
• Strong foundation in machine learning and deep learning
• Proficiency in Python and frameworks such as PyTorch or TensorFlow
• Hands-on experience with transformer architectures and LLMs
• Experience with fine-tuning, embeddings, and model evaluation
• Ability to rapidly prototype and iterate on ideas
• Strong analytical and research skills
Preferred Qualifications:
• Experience with model optimization techniques (quantization, pruning, distillation)
• Experience with embeddings, vector databases, and semantic search architectures
• Exposure to multimodal or vision-language models
• Background in industrial-scale or complex enterprise AI implementations
This is an excellent opportunity to work on cutting-edge AI initiatives and contribute to the development of next-generation intelligent systems.
A note on authenticity
We genuinely value the real-life experience, knowledge, and personal perspective that each candidate brings to the conversation. For this reason, we ask candidates to answer interview and assessment questions based on their own experience and understanding.
The use of AI tools, including ChatGPT or other generative AI assistants, during interviews or assessments is not permitted. We are interested in hearing your genuine perspective, learning from your real experience, and understanding how you think and approach challenges. xysqume
Candidates who use AI assistance during the interview or assessment process may be removed from the selection process.