Senior GenAI Engineer
The Italian Institute of Artificial Intelligence (AI4I)
Turin, Piedmont, Italy
Engineering
In short
The Italian Institute of Artificial Intelligence (AI4I) is headquartered in the standout location of OGR, Turin, with the unique mission to support both applied research and on-site deployment of AI. We are established to generate real-world impact at the intersection of science, technology, and industrial transformation.
Research units focus on topics such as secure and trustworthy AI, physical AI and multi-agent systems while the deployment unit is responsible for the implementation at client site. A dedicated high-performance computing center, including next-generation GPU systems such as NVIDIA B200 accelerators, is available to support both research and industrial deployment.
Our System User Knowledge platform and OGR-based network connect corporates, SMEs, startups, and scientific partners, fostering workshops and collaboration with external partners to remain at the forefront of innovation.
Role Summary
Within the Deployment Unit, we are hiring a Senior GenAI Engineer who will operate as a hands-on tech lead for client projects, owning end-to-end architecture, infrastructure, and production deployment of LLM applications. This is a highly hands-on role for someone who combines strong software engineering skills with deep knowledge of the GenAI ecosystem, including foundation models, agentic systems, RAG architectures, orchestration frameworks, evaluation methods, and deployment patterns.
You Will Work Closely With
Submit your application including:
- Scope: Tech Lead / Lead Engineer for LLM + agentic architecture, infrastructure, and deployment
- Salary range: €70,000 – €90,000 gross/year (depending on experience)
- Location: Turin (Hybrid)
- Stack: Python, LangChain/LangGraph, Vector DBs, CI/CD, Observability (OpenTelemetry/Grafana), Kubernetes, Azure/AWS, Edge/On‑prem constraints
The Italian Institute of Artificial Intelligence (AI4I) is headquartered in the standout location of OGR, Turin, with the unique mission to support both applied research and on-site deployment of AI. We are established to generate real-world impact at the intersection of science, technology, and industrial transformation.
Research units focus on topics such as secure and trustworthy AI, physical AI and multi-agent systems while the deployment unit is responsible for the implementation at client site. A dedicated high-performance computing center, including next-generation GPU systems such as NVIDIA B200 accelerators, is available to support both research and industrial deployment.
Our System User Knowledge platform and OGR-based network connect corporates, SMEs, startups, and scientific partners, fostering workshops and collaboration with external partners to remain at the forefront of innovation.
Role Summary
Within the Deployment Unit, we are hiring a Senior GenAI Engineer who will operate as a hands-on tech lead for client projects, owning end-to-end architecture, infrastructure, and production deployment of LLM applications. This is a highly hands-on role for someone who combines strong software engineering skills with deep knowledge of the GenAI ecosystem, including foundation models, agentic systems, RAG architectures, orchestration frameworks, evaluation methods, and deployment patterns.
You Will Work Closely With
- Deployment and Data Science team, delivering production-grade GenAI services
- Research units, to industrialize promising use cases emerging from applied research
- Industrial and institutional partners, ensuring solutions meet operational, safety, and compliance requirements
- Lead GenAI delivery (solution architecture, infrastructure decision and deployment) in projects and scope them and their technical feasibility through client interaction.
- Configure foundation models and define prompting + tool-use strategies for business workflows.
- Evaluate and select the most appropriate AI providers and frameworks based on performance, cost, latency, safety and scalability.
- Define and implement approaches for prompt evaluation, hallucination mitigation, guardrails, observability, and human-in-the-loop review where needed.
- Deploy and operate GenAI services in production integrating LLM APIs, vector databases, orchestration frameworks, backend services, cloud infrastructure, and monitoring.
- Optimize inference and (when needed) fine-tune models to meet latency/cost/quality targets.
- Master’s degree in Computer Science, Engineering, Physics or related; PhD a plus.
- Strong hands-on experience (5+ years) building and deploying applications based on deep learning frameworks (e.g. TensorFlow, PyTorch), RAG architectures, task-specific copilots and multi-step reasoning systems.
- Strong Python skills and solid experience with modern LLM tooling (e.g., LangChain, LlamaIndex, LangGraph, ADK) and API integration patterns.
- Solid data foundations: SQL and experience with data warehouses and ETL/ELT pipelines; familiarity with vector databases (e.g., pgvector, Pinecone, Qdrant, Redis).
- Experience optimizing solution quality and efficiency: model choice, prompt strategies, retrieval tuning with attention to latency and token/cost usage.
- Production-grade delivery: Kubernetes + Docker + Git, reproducible environments, and hands-on exposure to CI/CD and automated testing and observability and tracing tools such as OpenTelemetry, Grafana/Prometheus.
- Hands-on experience in designing cloud enterprise solutions for GenAI workloads (e.g., Azure OpenAI/ Bedrock/ Vertex AI) with at least one hyperscaler stack (Azure/ AWS/ etc.), including deployment, monitoring and cost control.
- Familiarity with multiple AI providers and model ecosystems, including commercial APIs and/or open-source models.
- Proficiency in Italian and English.
- Experience with fine-tuning strategies.
- Experience with guardrails, safety tooling, and/or AI compliance (e.g. AI Act, internal AI governance).
- Experience with edge analytics or deployment in constrained industrial environments.
- Broad software engineering background, including experience with at least another programming language (e.g. Java, JavaScript, C/C++), NoSQL databases, distributed and cloud‑native systems.
- Knowledge of frontend integration for AI assistants/copilots.
- Competitive salary: €70,000 – €90,000 gross/year
- Flexible hybrid work model
- Access to our advanced computing infrastructure
- A team with engineers and researchers working together on real industrial AI deployments
- Chance to co-author papers for top-tier conferences like NeurIPS, ICML, CoRL, and RSS
- Exposure and collaboration with a huge network of corporates, SMEs, startups and technology partners
- An exceptional workplace @OGR, Turin at the epicenter of tech
- Lots of learning opportunities: IAS, internal Academy, budget for events, conferences and online courses
- Relocation incentives and competitive benefits package (including potential tax advantages for international candidates, where applicable)
- Fit interview
- Technical live assessment
- Final motivation interview
Submit your application including:
- CV
- Cover letter (max. 1 page) describing how your profile fits the position
- Optional, links to code repositories (e.g., GitHub), personal webpage or projects (e.g., open-source contributions)
- Optional, names of two references
About the company
Company website•Research Services
The Italian Institute of Artificial Intelligence for Industry AI4I is a newly established Research and Technology Center for applied research and innovation in Artificial Intelligence in manufacturing, automotive and aerospace.
Italy is consistently among the top nations in the world when it comes to scientific research, yet it struggles in converting it into innovation and in widely adopting it across economics domains.
Our mission is to promote innovation in the area of Artificial Intelligence and to have it integrated in processes, products and services in the Italian industry landscape.
Our vision is to create an Italian Research and Technology Organization (RTO) for Artificial Intelligence in Industry with a distinctive position within the European landscape.
AI4I enjoys a strategic location. Turin is recognized for its scientific, industrial and technological ecosystems, as well as for its growing number of startups, research laboratories, incubators, accelerators, venture capital funds and corporate ventures.
Turin enjoys a central location with respect to the Alpine region and to Switzerland, and it is close to Milan and to Genoa, where the Italian Institute of Technology (IIT) is based.