Applied Ai Solution Engineer
Pubblicato il 06-08-2026 - Altro in Italia
Who are we? BV TECH Group is an Italian leader in the ICT and Cybersecurity sectors, with over 1,500 professionals and offices in Italy and abroad.
We develop technologies and solutions for both civilian and military fields, contributing to innovation and the country's digital security.
Our goal? To develop national technologies and skills — in both civilian and military domains — and contribute to the country's digital growth.
Applied AI / Solutions Engineer We are looking for an Applied AI / Solutions Engineer to design and deploy enterprise AI solutions based on Generative AI, RAG architectures, and advanced agentic workflows.
Key Activities Analyze client requirements and design end-to-end AI architectures
Develop Proof of Concepts (POC) and Minimum Viable Products (MVP)
Design and implement RAG pipelines and advanced prompt engineering workflows
Build and orchestrate AI agents and multi-agent systems
Integrate AI solutions with enterprise platforms, legacy systems, databases, and APIs
Support deployment, monitoring, and optimization of AI systems in production
Evaluate AI models and technologies based on performance, scalability, cost, and compliance requirements
Produce technical documentation and support knowledge transfer activities
Key Requirements Minimum 5 years of experience in software engineering, AI engineering, or related roles
Strong Python skills
Hands‐on experience designing and deploying RAG systems
Experience with agent frameworks such as LangGraph, CrewAI, AutoGen, or LangChain Agents
Solid knowledge of PostgreSQL and database design
Experience building APIs with FastAPI
Familiarity with asynchronous architectures and messaging systems (e.g. RabbitMQ)
Experience integrating AI solutions with enterprise systems and APIs
Nice to Have AWS or Azure experience/certifications
Knowledge of AI governance, compliance, and data security
Experience with Docker and cloud-native deployments
Experience with multimodal AI solutions and open-source LLMs
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