Applied AI Engineer

Jobgether; Lombardia; In loco; EUR 55.000 - 75.000; Tempo pieno

Vantaggi offerti da questo lavoro

Unlimited paid time off

Comprehensive health insurance

Professional development stipend

Descrizione del lavoro

Jobgether is looking for an Applied AI Engineer to lead in building and deploying AI-driven solutions. The role focuses on identifying operational inefficiencies and leveraging modern AI technologies for workflow improvements. Candidates should have 3-5 years of experience in software engineering, with hands-on work in LLM applications. The position allows for fully remote work and includes generous benefits, promoting work-life balance and continuous professional development.

Competenze

• 3-5 years of professional experience in software engineering with production-grade applications.
• At least 1 year hands-on with LLM-powered or agent-based AI solutions.
• Familiarity with agentic architectures and orchestration.

Mansioni

• Identify operational inefficiencies and design AI-driven solutions.
• Build, test, and deploy end-to-end automation tools using AI frameworks.
• Collaborate with stakeholders for scalable technical implementations.

Conoscenze

TypeScript/JavaScript

Python

Problem-solving skills

Communication skills

Experience with LLM APIs

Strumenti

Google Cloud

Docker

API design

Next.js

Descrizione del lavoro

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Applied AI Engineer in Italy.

In this role, you will operate at the intersection of artificial intelligence, software engineering, and business transformation, acting as a self-driven builder embedded within key operational teams. You will take ownership of end-to-end solutions, identifying inefficiencies and rapidly developing AI-powered tools to streamline processes and drive measurable impact. Working in a highly autonomous and innovation-focused environment, you’ll leverage modern AI agents, LLMs, and cloud technologies to design, build, and deploy scalable solutions. This position is ideal for someone who thrives on experimentation, continuous learning, and delivering tangible improvements through cutting-edge AI applications. You’ll play a pivotal role in shaping internal workflows while working alongside a globally distributed, forward-thinking team.

Accountabilities

• Identify operational inefficiencies within assigned business functions and design AI-driven solutions to improve workflows and productivity
• Build, test, and deploy end-to-end automation tools using modern AI frameworks and coding environments
• Leverage LLM APIs, agent-based architectures, and retrieval-augmented generation (RAG) to develop intelligent systems
• Collaborate closely with stakeholders to translate complex business needs into scalable technical implementations
• Own the full product lifecycle, from discovery and prototyping to deployment and performance optimization
• Ensure reliability, scalability, and observability of deployed AI systems through best engineering practices
• Continuously evaluate and adopt emerging AI tools, frameworks, and methodologies to enhance development efficiency

Requirements

• 3-5 years of professional experience in software engineering, including delivering production-grade applications
• At least 1 year of hands-on experience building and deploying LLM-powered or agent-based AI solutions
• Strong proficiency in TypeScript/JavaScript, Python, and modern web frameworks such as Next.js
• Practical experience with LLM APIs (e.g., Anthropic, OpenAI, Google Gemini) and prompt engineering techniques
• Familiarity with agentic architectures, MCP (Model Context Protocol), and AI workflow orchestration
• Experience with cloud platforms (preferably Google Cloud), CI/CD pipelines, Docker, and API design
• Strong problem-solving skills with the ability to independently take projects from concept to deployment
• Excellent communication skills, with the ability to bridge technical and business perspectives
• Self-motivated, curious, and adaptable, with a passion for staying current in the rapidly evolving AI landscape

Benefits

• Fully remote work environment with flexible scheduling options
• Unlimited paid time off to support work-life balance
• Comprehensive health insurance coverage
• Parental leave to support growing families
• Employee stock option plan
• Home office setup allowance
• Professional development stipend for continuous learning
• Recognition programs that celebrate achievements and contributions
• Inclusive, collaborative culture that values diversity and innovation