Junior Fullstack Developer for AI Applications at Gemmo

Genoa, Liguria, Italy -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

28000.0

Posted On

07 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Typescript, SQL, Rust, Machine Learning, API Development, React, Tailwind CSS, Databases, Git, Figma, Cloud Providers, PyTorch, ONNX, AWS, Azure

Industry

Software Development

Description

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 are looking for a junior fullstack developer with experience in Machine Learning to join our team and help integrate our models and solutions into our clients’ cloud infrastructures. You will be responsible for co-designing, building and maintaining CRUD APIs, creating the UI, launching and orchestrating Machine Learning inference pipelines, and deploying the solution on the cloud. You will collaborate closely with UI/UX designers and Machine Learning engineers ensuring that AI components integrate into end-to-end solutions. Beyond implementation, you will play an active role in shaping and refining our pipelines, maintaining scalability, reliability, and performance as we continue to innovate. Compensation Full-time contract (tempo indeterminato); Up to 28k€ RAL, depending on experience; Yearly bonus based on KPIs fulfilment. Working at GemmoTech Stack We work with a fairly broad spectrum of languages and tools, albeit with uneven distributions. Expect to get acquainted with the following: Languages: Python, Typescript, SQL, Rust ML & Data Libraries: PyTorch, Polars, Ultralytics, vLLM, Prophet, XGBoost, NumPy, OpenCV, Kornea, LangGraph IDE and Terminal: Cursor, Warp API Frameworks: FastAPI, Express.js, Tokio Tooling: uv, ruff, ty, Justfile Monitoring: CometML, Logfire, Prometheus, Grafana, Sentry, Langfuse, MixPanel Databases: PostgreSQL, Snowflake, DynamoDB CI/CD: Docker, GitHub Actions Infrastructure as Code: AWS CDK, Terraform, Ray, Modal Cloud Platforms: AWS, Azure Working Hours Monday-Thursday: 8.30 - 17:45 (CET) Friday: 8:30 - 16:30 (CET) Lunch time: 13:00 - 14:00 (CET, flexible) On-call duty: not requested Internal Meetings We strive to minimize the number of fixed internal meetings. We prefer to have on-demand meetings when necessary and involving only the relevant people. We do have a few meetings that are fixed, though: Morning standup (8:30, 10 minutes): definition and review of daily tasks; Evening standup (17:45 Mon-Thur / 16:30 Fri, 10 minutes): wrap up and updates; Weekly retrospective (Fridays, 8:30, 1 hour): projects status review; Monthly 1:1s with CTO (first Friday of the month, 20 minutes): discussion on problems, roadblocks, expectations, overall satisfaction. Hybrid Work Policy Required 3+ days per week in person in Genova. Up to 20 days per year of work-from-anywhere. Mandatory 1+ year of experience in fullstack development; Proficiency in Python and/or Typescript for the backend; Proficiency in Typescript, React and Tailwind CSS for the frontend; 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 Familiarity with Figma Experience with running Machine Learning inference jobs with PyTorch or ONNX; Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls; Experience with cloud providers (AWS or Azure); Laptop, monitor, camera and noise-cancelling headphones; Paid lunch and coffee breaks when in office;

Responsibilities

You will be responsible for co-designing, building, and maintaining CRUD APIs, creating the UI, and launching Machine Learning inference pipelines. You will collaborate closely with UI/UX designers and Machine Learning engineers to ensure integration into end-to-end solutions.