Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.

About us

Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!

Our P&T team is leveraging Operations Research and AI/ML-based technologies to build  the next-generation Supply Chain solutions. We have a pragmatic down-to-earth philosophy of using AI to solve concrete warehousing, distribution, transportation and supply management challenges and we are currently looking for a Senior AI / ML Developer to join the team and help us spear-head AI, ML, Data-science and Operations Research initiatives to recommend actionable business insight in various supply chain use-cases. 

How will you contribute to the team effort?

You will be the resident AI expert and will work closely with development teams to spearhead the development of features, providing actionable business insights to our customers and end-users, and allowing them to manage their operations more efficiently.

You will identify, coordinate, and develop Data Science solutions to build predictive/prescriptive models, design AI/ML/agentic solutions that use data pipelines to solve supply chain problems. You will also contribute to the design and development of production-grade AI systems, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows. You will help translate experimental AI capabilities into reliable, scalable, and measurable product features.

Although deploying and governing the end-to-end cycles of solutions is not your primary responsibility, you will help with the process, especially developing tools to assess the efficacy of the models.