
Senior Fullstack Engineer - Zartis - LATAM
Fullstack Engineer
Job Description
Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact. Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes. With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders. We are looking for a Senior Software Engineer to work on a project in the Logistic industry. Our teammates are talented people that come from a variety of backgrounds. We're committed to building an inclusive culture based on trust and innovation. You will be part of a distributed, cross-functional team at an exciting and exploratory stage of our client's AI initiative — helping to shape how AI is architected, integrated, and adopted across the organisation. What you will do: Design and build robust backend services using TypeScript and NestJS, integrating AI capabilities into existing and new product workflows Work with Prisma and AWS (or equivalent cloud infrastructure) to build scalable, production-grade systems Incorporate AI tooling and prompt engineering into development workflows, going beyond off-the-shelf tools to build purposeful, well-considered AI integrations Contribute to architectural decisions and technical standards as the team's AI approach continues to evolve Help shape how the organisation thinks about and adopts AI-assisted or spec-driven development practices Collaborate closely with stakeholders across engineering and product, operating effectively in an ambiguous and fast-moving environment.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 28 |
| Remote - Europe | 5 |
| Remote - EU | 2 |
| Role type | Active listings |
|---|---|
| Software Engineer | 12 |
| Data Engineer | 4 |
| Fullstack Engineer | 2 |
| Product Manager | 2 |
| Senior Software Engineer | 2 |
| Account Manager | 1 |
| Senior Mobile Engineer | 1 |
| Talent Consultant | 1 |
| Senior Site Reliability Engineer | 1 |
| Business Analyst | 1 |
| Platform Engineer | 1 |
| Open Application | 1 |
| Architect | 1 |
| Workforce and Service Specialist | 1 |
| Human Resources Specialist | 1 |
| People and Culture Specialist | 1 |
| Senior QA Automation Engineer | 1 |
| Database Administrator | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 17 |
| Senior | 6 |
| Mid-level | 1 |
Zartis appears in 35 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote - Europe, and Remote - EU.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Design and build robust backend services using TypeScript and NestJS, integrating AI capabilities into existing and new product workflows
- Work with Prisma and AWS (or equivalent cloud infrastructure) to build scalable, production-grade systems
- Incorporate AI tooling and prompt engineering into development workflows, going beyond off-the-shelf tools to build purposeful, well-considered AI integrations
- Contribute to architectural decisions and technical standards as the team's AI approach continues to evolve
- Help shape how the organisation thinks about and adopts AI-assisted or spec-driven development practices
- Collaborate closely with stakeholders across engineering and product, operating effectively in an ambiguous and fast-moving environment.
Requirements
- Strong hands-on experience with TypeScript and NestJS in production environments
- Solid experience with Prisma and cloud infrastructure, particularly AWS or a comparable platform
- Genuine, practical experience building with AI tooling — working with models, integrating prompts into development workflows, and building AI-powered features
Skills & Technologies
Education Level
None required