AI Software Developer

Gemmo; Remoto; EUR 25.000 - 30.000; Tempo pieno

Descrizione del lavoro

A Machine Learning startup is seeking an AI Software Developer in Milan. This full-time position offers a salary up to €30k, depending on experience. Responsibilities include designing APIs and integrating ML models into cloud systems. Candidates should be proficient in Python or Typescript, have experience with API development, and know databases. The role allows remote work anywhere in Italy, with optional office collaboration in Milan. Benefits include paid lunch and flexible hours.

Servizi

Paid lunch

Paid coffee breaks

Macbook, monitor, and noise-cancelling headphones

Competenze

• Proficiency in Python and/or Typescript.
• Familiarity with API development.
• Good understanding of databases.

Mansioni

• Design, build, and maintain CRUD APIs and web interfaces.
• Integrate Machine Learning inference pipelines into cloud systems.
• Deploy, monitor, and maintain applications in AWS or Azure.

Conoscenze

Proficiency in Python

API development (FastAPI or Express.js)

Good understanding of databases

Version control systems (e.g., Git)

B2+ English proficiency

Strumenti

AWS

Azure

PyTorch

SQL

Typescript

Descrizione del lavoro

About Us

We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy.

Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences.

At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.

We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control.

About The Role

We’re looking for an AI Software Developer (0 - 1 years of experience) to help us integrate our Machine Learning models into clients’ cloud environments and production systems.

You’ll design and build APIs and UIs, orchestrate ML inference pipelines, and deploy solutions to the cloud. Working closely with our ML engineers, you’ll ensure our AI components evolve into robust, scalable end-to-end products.

What You’ll Do

• Design, build, and maintain CRUD APIs and web interfaces
• Integrate Machine Learning inference pipelines into cloud systems
• Deploy, monitor, and maintain applications in AWS or Azure
• Collaborate with ML engineers on system architecture and model integration
• Contribute to improving scalability, reliability, and CI/CD pipelines

Tech Stack

We use a mix of modern tools and languages. You’ll have the chance to explore and work with technologies like these:

• Languages: Python, Typescript, SQL
• ML Frameworks: PyTorch, XGBoost
• API Frameworks: FastAPI, Express.js
• Databases: Snowflake, Postgres
• Cloud: AWS

Remote Work & Schedule

This is a remote position, and you are free to work from anywhere in Italy.

However, if you fancy collaborating with other members of the team, you are welcome to join our Milan office (Via Zuretti 34, Milan).

Working hours:

• Monday–Thursday: 8:30 – 17:45 CET

• Friday: 8:30 – 16:30 CET

• Lunch: 13:00 – 14:00 (flexible)

We don’t do on-call rotations, your evenings and weekends are your own.

Recruiting Process

1. HR Screening (15 min): Company and role presentation, alignment on expectations.
2. Technical Interview (60 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode-style questions.
3. Final interview with CEO (15 min): Final Q&A round, alignment on project.

Commitment and Contract

• Full-time contract (tempo indeterminato)
• Up to 30k€ RAL, depending on experience
• Yearly bonus based on KPIs fulfilment

Mandatory

• Proficiency in Python and/or Typescript;
• Familiarity with API development (FastAPI or Express.js);
• Good understanding of databases (SQL or NoSQL) and experience with querying and managing data;
• Knowledge of version control systems (e.g., Git);
• B2+ English proficiency;

Nice to Have

• Experience with cloud providers (AWS or Azure);
• Experience in Typescript, React and Tailwind CSS for the frontend;
• Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
• Experience with running Machine Learning inference jobs with PyTorch or ONNX.

• Macbook, monitor and noise‑cancelling headphones;
• Paid lunch and coffee breaks when in office;