Senior AI Engineer (Remote)
Are you a Senior Engineer expert in Agentic AI ? Join Reply ! Reply is a network of highly specialized companies which support leading industrial groups in defining and developing business models using new technology and communication paradigms, such as Big Data, Cloud Computing, Digital Communication, Internet of Things, Mobile and Social Networking.
Reply focuses on Consultancy, System Integration and Application Management, covering three areas of competence: Processes, Applications and Technologies. Design, implement and optimise Agentic AI and GenAI solutions for our clients, from architecture definition through to production release. You will have the opportunity to translate complex data challenges into concrete, high-impact business insights, and to lead the different project phases, ensuring the quality and scalability of the models developed and deployed to production.
Tech & tools stack. Python, LLM systems, RAG Architectures, Databricks. Mentoring, collaboration, and continuous growth. You'll have the opportunity to attend a range of courses and certifications to enrich your professional and technical background.
An offer tailored to your experience. The compensation package will be determined based on your professional background, technical skills, expertise, and the level of responsibility associated with the role. The collective labour agreement (CCNL) mainly applied within Reply is the Italian Metalworking Industry Agreement (Metalmeccanico).
The job classification will be assessed starting from level B2, and the gross annual salary (RAL)
will range from €34,000 to €65,000. Previous experience with cutting-edge technologies such as Quantum Computing, Physical AI, Agentic AI, Foundation Model and LLM training, fine-tuning, and optimization will be considered a strong asset.
Our Career
Path offers opportunities to grow both as a technical specialist and as a future leader. Your ambitions, the skills you develop, and the results you achieve will shape your professional journey. Technology evolves rapidly - and so do we.
You will join an environment that encourages curiosity, continuous learning, and the exploration of new ideas and emerging technologies. The benefits of being a Replyer. You will also have access to the benefits and initiatives dedicated to our community.
Bachelor's or Master's degree in Computer Science, Computer Engineering or a related field. At least 3–5 years of experience in software development or ML/AI, including at least 1–2 years on LLM-based projects and agentic solutions deployed to production. Excellent command of Python and of the main frameworks for building agentic systems (e.g.
Ability to design multi-agent systems: orchestration,
routing between specialised agents, conversational state management
- Prompt engineering and evaluation of LLM systems (ground truth, relevance metrics, regression testing)
- Implementation of guardrails and attention to system security, including protection against prompt injection
- In-depth knowledge of RAG architectures (hybrid and vector-based) and the ability to assess their trade-offs
- Ability to build systems with scalability, resilience, observability and cost in mind
- API design (REST, SSE streaming), interface contracts and versioning
- Ability to identify architectural inconsistencies and resolve them together with the DevOps team and the client
- High-level knowledge of the main cloud services. Full professional proficiency in English for daily client interactions and technical documentation. Ability to listen to clients and analyse their needs, understanding their business goals and turning them into clear, actionable requirements
- Ability to act as the client's technical point of reference with a critical eye: managing expectations, dependencies and blockers, and communicating risks and trade-offs
- The first step of our recruiting process will be the meetings with the technical referents and then a face to face interview with the HR team. Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality or disabilities as protected by Italian Law (L.68/99).
Reply focuses on Consultancy, System Integration and Application Management, covering three areas of competence: Processes, Applications and Technologies. Design, implement and optimise Agentic AI and GenAI solutions for our clients, from architecture definition through to production release. You will have the opportunity to translate complex data challenges into concrete, high-impact business insights, and to lead the different project phases, ensuring the quality and scalability of the models developed and deployed to production.
Tech & tools stack. Python, LLM systems, RAG Architectures, Databricks. Mentoring, collaboration, and continuous growth. You'll have the opportunity to attend a range of courses and certifications to enrich your professional and technical background.
An offer tailored to your experience. The compensation package will be determined based on your professional background, technical skills, expertise, and the level of responsibility associated with the role. The collective labour agreement (CCNL) mainly applied within Reply is the Italian Metalworking Industry Agreement (Metalmeccanico).
The job classification will be assessed starting from level B2, and the gross annual salary (RAL)
will range from €34,000 to €65,000. Previous experience with cutting-edge technologies such as Quantum Computing, Physical AI, Agentic AI, Foundation Model and LLM training, fine-tuning, and optimization will be considered a strong asset.
Our Career
Path offers opportunities to grow both as a technical specialist and as a future leader. Your ambitions, the skills you develop, and the results you achieve will shape your professional journey. Technology evolves rapidly - and so do we.
You will join an environment that encourages curiosity, continuous learning, and the exploration of new ideas and emerging technologies. The benefits of being a Replyer. You will also have access to the benefits and initiatives dedicated to our community.
Bachelor's or Master's degree in Computer Science, Computer Engineering or a related field. At least 3–5 years of experience in software development or ML/AI, including at least 1–2 years on LLM-based projects and agentic solutions deployed to production. Excellent command of Python and of the main frameworks for building agentic systems (e.g.
Ability to design multi-agent systems: orchestration,
routing between specialised agents, conversational state management
- Prompt engineering and evaluation of LLM systems (ground truth, relevance metrics, regression testing)
- Implementation of guardrails and attention to system security, including protection against prompt injection
- In-depth knowledge of RAG architectures (hybrid and vector-based) and the ability to assess their trade-offs
- Ability to build systems with scalability, resilience, observability and cost in mind
- API design (REST, SSE streaming), interface contracts and versioning
- Ability to identify architectural inconsistencies and resolve them together with the DevOps team and the client
- High-level knowledge of the main cloud services. Full professional proficiency in English for daily client interactions and technical documentation. Ability to listen to clients and analyse their needs, understanding their business goals and turning them into clear, actionable requirements
- Ability to act as the client's technical point of reference with a critical eye: managing expectations, dependencies and blockers, and communicating risks and trade-offs
- The first step of our recruiting process will be the meetings with the technical referents and then a face to face interview with the HR team. Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality or disabilities as protected by Italian Law (L.68/99).