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София, София-град, България
Remote only
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 AI Software Engineer to work on a project in the Logistics 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 team supporting a supply chain leader that provides expert consulting, specialised software, and managed services to optimise end-to-end logistics operations. In this role, you will help design and develop AI-driven applications, integrating machine learning models into scalable production systems that enable smarter decision-making and solve real business challenges across the logistics domain.
We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail. You should be comfortable collaborating with cross-functional teams, contributing to technical and architectural decisions, and delivering high-quality AI-powered solutions in a cloud-based environment.
Design, develop, and deploy AI-powered applications using Python.
Integrate machine learning models, AI APIs, and intelligent algorithms into scalable backend systems.
Collaborate with data scientists, product managers, and software engineers to define, develop, and deliver AI-driven features.
Contribute to software architecture, system design, and technical decision-making for AI-enabled products.
Develop and maintain CI/CD pipelines and containerized environments using Docker.
Deploy and manage AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Optimize AI solutions for scalability, performance, reliability, and maintainability.
Stay up to date with the latest advancements in AI, machine learning, and emerging technologies, evaluating opportunities to incorporate them into products and workflows.
Bachelor's degree in Computer Science, Software Engineering, or a related field.
5+ years of professional software development experience, with a focus on integrating AI/ML solutions into production applications.
Strong programming skills in Python (preferred) or Java.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Transformers.
Solid understanding of machine learning concepts, data engineering, ETL processes, and model deployment.
Experience working with SQL and large-scale datasets.
Familiarity with containerization (Docker), CI/CD practices, and cloud platforms (AWS, Azure, or GCP).
Experience building or consuming RESTful APIs and integrating AI services into enterprise applications.
Experience working with LLMs , vector databases, prompt engineering, or AI agents.
Strong analytical and problem-solving mindset
Excellent communication and collaboration skills
Proactive, adaptable, and self-driven Ability to work independently and collaboratively within cross-functional teams
Genuine motivation to contribute to organizations success and alignment with its culture and values.
Experience with modern frontend frameworks such as React, Angular, or Vue.js.
Knowledge of MLOps tools and practices
Familiarity with Kubernetes, infrastructure as code, or microservices architectures.
100% Remote Work
WFH allowance: Monthly payment as financial support for remote working.
Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.
Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.
Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.
Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.
Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.
