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Agentic Ai Engineer - Italy

Catenate Ich

Milano

In loco

EUR 45.000 - 70.000

Tempo pieno

Ieri
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Descrizione del lavoro

A leading IT consulting company in Milan seeks an experienced AI Engineer to design and develop autonomous AI agent systems. The role involves collaborating with business teams to implement agent-based solutions and requires a Bachelor's or Master's degree with 3-5 years of experience in AI or ML. Proficiency in Python and knowledge of Large Language Model APIs are essential, alongside excellent communication skills in Italian and English.

Competenze

  • 3-5 years experience in AI / ML engineering, preferably with autonomous systems.
  • Understanding of prompt engineering and model optimization techniques.
  • Excellent knowledge of Italian and English, both written and spoken.

Mansioni

  • Design and develop autonomous AI agent systems.
  • Coordinate with business teams for AI implementation.
  • Architect and optimize multi-agent systems for business objectives.

Conoscenze

Python programming
Large Language Model APIs
Agentic AI frameworks
Cloud AI services
MLOps practices
API development
Containerization (Docker, Kubernetes)
Vector databases
AI / ML libraries (TensorFlow, PyTorch)

Formazione

Bachelor's or Master's degree in Computer Science, AI / ML, Data Science
Descrizione del lavoro

About the job In today's evolving digital landscape, are you confident that your AI infrastructure is aligned with your needs? Catenate ICH is your trusted IT partner, crafting bespoke AI solutions that perfectly fit business needs. We help enterprises re-imagine their businesses for the AI-driven age.

As a consulting company, our greatest asset is our people. We are dedicated to fostering a collaborative team environment where everyone's well-being is a top priority. Through ongoing efforts and teamwork, we promote an innovative one level streamlined organization where each one supports its growth and success and does the same for another colleague.

Find out how to join Catenate team!

Role Description
  • Design and develop autonomous AI agent systems that can perform complex tasks with minimal human intervention
  • Coordinate with business teams to identify opportunities for agentic AI implementation and integration with existing systems
  • Architect multi-agent systems that can collaborate, communicate, and coordinate to achieve business objectives
  • Develop and implement AI workflows using agent orchestration frameworks and tools
  • Design prompt engineering strategies and fine-tuning approaches for large language models in agent contexts
  • Build robust error handling, monitoring, and feedback systems for autonomous AI agents
  • Collaborate with development teams to integrate agentic AI solutions into production environments
  • Research and experiment with cutting-edge AI agent technologies and methodologies
  • Ensure AI systems operate within ethical guidelines and safety parameters
  • Optimize agent performance, reliability, and cost-effectiveness in production environments
Skills Required
  • Bachelor's or Master's degree, preferably in Computer Science, AI / ML, Data Science, or equivalent 3-5 years experience in AI / ML engineering, preferably with autonomous systems or agent-based solutions
  • Advanced knowledge of Large Language Model APIs and services (OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI)
  • Proficiency with agentic AI frameworks such as LangChain, CrewAI, AutoGen, or similar agent orchestration platforms
  • Strong programming skills in Python, with experience in AI / ML libraries (TensorFlow, PyTorch, scikit-learn)
  • Knowledge of cloud AI services and platforms (Azure AI Services, AWS Bedrock, Google Cloud AI)
  • Experience with vector databases and retrieval-augmented generation (RAG) systems (Pinecone, Weaviate, ChromaDB)
  • Understanding of MLOps practices and tools for AI model deployment and monitoring
  • Knowledge of prompt engineering, fine-tuning, and model optimization techniques
  • Experience with API development and microservices architecture for AI systems
  • Familiarity with containerization and orchestration (Docker, Kubernetes) for AI workloads
Profile
  • Excellent knowledge of Italian, both written and spoken
  • Excellent knowledge of English, both written and spoken
  • Excellent
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