Agentic AI / LLM Developer Jobs Italy (Hybrid) – Capgemini Hiring Now

📍 Location: eu

🏷 Type: Not specified

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Table of Contents

Job Overview

This role targets a Senior-Level Agentic AI / LLM Developer specializing in enterprise AI systems, generative AI, and agent-based architectures. At Capgemini Engineering, you will design and deploy scalable AI agents and LLM-powered backend systems across industrial and enterprise environments. The ideal candidate has 5+ years of backend experience, strong exposure to LLM frameworks, and the ability to work across complex system integrations. This is a high-impact role combining software engineering, AI architecture, and consulting.

🌍 Work Eligibility & Location

🌍 Visa Sponsorship: Not explicitly stated
✈️ Relocation Support: Not specified
🏠 Remote Type: Hybrid (Italy-based offices)
⏰ Timezone Requirement: European business hours
🌐 Country Restrictions: Likely EU-based candidates preferred
🗣️ Language Requirement: English (professional proficiency)

This is a Hybrid opportunity based across multiple locations in Italy, requiring partial on-site presence. While visa sponsorship is not confirmed, large global firms like Capgemini may support relocation on a case-by-case basis. International candidates should assume preference for EU work authorization unless clarified during application.

💰 Salary Intelligence

💰 Official Salary: Not disclosed
📊 Estimated Range: €60,000 – €90,000/year
📈 Level: Senior-Level

Although the company does not publish compensation, market benchmarks for Senior AI/LLM Engineers in Italy place this role within the €60K–€90K range, depending on experience and specialization. Given the focus on agentic AI and enterprise systems, candidates with deep expertise in LLM orchestration and production systems may command higher offers.

📊 Role Breakdown

This position is heavily oriented toward building production-grade AI systems using modern LLM orchestration frameworks. Approximately 40% of the role involves designing and developing agentic AI architectures using tools like LangChain, LangGraph, and alternative frameworks. Another 30% focuses on backend engineering with Python and TypeScript, ensuring robust APIs and scalable infrastructure.

Roughly 20% of your time will be spent on system integration, embedding AI capabilities into industrial platforms, CMMS systems, and enterprise workflows. The remaining 10% involves cross-functional collaboration with international teams, contributing to architectural decisions and aligning technical solutions with business needs.

Key success factors include the ability to build modular AI agents, optimize LLM pipelines, and ensure scalability, maintainability, and production-readiness. This is not experimental AI work — it is focused on real-world deployment at enterprise scale.

🧩 Required Skills & Fit

✅ Must: Strong backend development in Python and TypeScript
✅ Must: Hands-on experience with LLMs and agentic frameworks
✅ Must: Experience building scalable enterprise systems
➕ Bonus: Familiarity with AutoGen, CrewAI, or custom agent frameworks
➕ Bonus: Experience in industrial, manufacturing, or CMMS systems

📈 Difficulty & Competitiveness

⚡ Level: High
📊 Experience barrier: 5+ years
🧠 Skill complexity: Advanced (AI + backend + systems integration)
🌍 Competition: High (global AI talent pool)

This role sits firmly in the Senior-Level bracket, requiring 5+ years of experience and cross-domain expertise. The combination of LLM engineering, backend systems, and enterprise integration significantly raises the bar. Candidates are expected to go beyond prototypes and demonstrate production deployment experience. Competition is intense due to the rising demand for agentic AI specialists, especially those capable of delivering scalable enterprise solutions.

🚀 Career Impact

⭐ Impact Rating: ⭐⭐⭐⭐☆
🏢 Brand value: Strong global consulting and engineering leader
📚 Skill growth: Advanced AI systems and enterprise architecture
🚀 Future opportunities: AI Architect, Lead LLM Engineer, AI Consultant

Joining Capgemini Engineering provides significant career leverage in enterprise AI. You will gain exposure to large-scale deployments, positioning you for roles such as AI Architect or Lead Generative AI Engineer. The experience in agentic AI systems and industrial applications is particularly valuable as organizations move toward autonomous AI workflows.

📋 Key Responsibilities

You will design and develop agentic AI solutions for enterprise chatbot systems, leveraging frameworks like LangChain and LangGraph. A major part of your role involves building backend services using Python and TypeScript, ensuring scalability and reliability.

You will also integrate LLMs into complex enterprise environments, including industrial systems and CMMS platforms. Collaboration is critical — you will work with international teams and stakeholders to align technical implementations with business goals.

Additionally, you are expected to contribute to architectural decisions, evaluate new AI frameworks, and ensure all solutions meet production-grade standards. Maintaining clean, scalable, and maintainable code is a core requirement.

🎯 Application Strategy

🎯 Best apply method: Apply directly via Capgemini careers portal
🔥 Highlight: Experience with LangChain / agentic AI systems
🔥 Highlight: Production deployment of LLM-based applications
❌ Avoid: Submitting generic backend-only profiles
❌ Avoid: Lack of real-world AI system examples

🧠 Application Optimization (Adaptive)

This section is personalized by seniority.

How to use: Paste into ChatGPT, Claude, or Gemini

You are a senior technical recruiter.

Role:
Senior Agentic AI / LLM Developer focusing on enterprise AI systems, backend development in Python/TypeScript, and LLM integration.

Candidate:
[Paste CV]

Optimize for this role.

Focus:

Signal strength
Role alignment
Missing high-impact elements

🧠 Fit & Positioning Analysis

Evaluate your match before applying.

Act as a hiring panel.

Evaluate:

Match score
Strengths
Gaps
Positioning improvements

📅 Application Signals

This role was recently posted, indicating high urgency in hiring. Given the niche focus on agentic AI and LLM systems, competition is strong but concentrated among specialized candidates. Early applicants with proven production AI experience and clear project impact will have a significant advantage in the screening process.

🚀 Resume Optimization for This Role

⚡ Takes less than 2 minutes — optimize specifically for this position before applying

🎯 0/5 completed

Tailoring your CV to this exact role significantly increases your chances.

Agentic AI Systems: Showcase LangChain or LangGraph agent implementations with production outcomes

LLM Integration: Detail integrating LLMs into enterprise or industrial systems

Backend Engineering: Quantify Python and TypeScript backend performance, scalability, APIs built

System Architecture: Highlight designing scalable AI architectures and technical decision ownership

Enterprise Impact: Demonstrate measurable impact on automation, efficiency, or business workflows

✅ Ready to apply — your profile is aligned with this role

Next Step: Tailor your CV to this role and apply through the official page below

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✅ Job Source & Verification

This job is sourced directly from the official Capgemini careers platform, ensuring high source credibility. The listing was last updated on April 17, 2026, making it an active and current opportunity. Candidates are advised to verify details during application, particularly regarding visa sponsorship and compensation specifics.