About the job
At Tecsys, we embrace the benefits of a remote-first work culture, enhancing employee morale, productivity, and minimizing commuting impacts on well-being and the environment. Our commitment to a digital-first approach is supported by advanced technologies and programs that foster a collaborative and engaging work environment. Our team enjoys the flexibility to work in a way that maximizes their productivity, whether from the comfort of home or in our conveniently located offices.
About Us
Tecsys is a dynamic and fast-growing innovator providing cutting-edge supply chain solutions to leading healthcare systems, hospitals, pharmacies, distributors, retailers, and 3PLs. Partnering with industry leaders, we leverage technology to revolutionize supply chains. If you are eager to tackle exciting challenges and pursue continuous learning, Tecsys may be the ideal place for you!
Our Product & Technology team utilizes Operations Research alongside AI and ML technologies to create next-generation supply chain solutions. We maintain a practical approach to applying AI in addressing tangible challenges in warehousing, distribution, transportation, and supply chain management. We are currently seeking a Senior AI/ML Developer to drive forward our AI, ML, Data Science, and Operations Research initiatives, delivering actionable business insights for various supply chain applications.
Your Role
As our resident AI expert, you will collaborate closely with development teams to lead the creation of innovative features, providing actionable insights to our customers and end-users, enabling them to manage their operations efficiently. You will spearhead the identification, coordination, and development of Data Science solutions to construct predictive and prescriptive models, as well as design AI/ML solutions that utilize data pipelines to effectively tackle supply chain problems. Furthermore, you will contribute to the design and development of robust, production-grade AI systems, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows. Your efforts will help transform experimental AI capabilities into reliable, scalable, and measurable product features.
While managing the end-to-end cycles of solutions is not your primary responsibility, your support in this process—particularly in developing tools to evaluate model efficacy—will be invaluable.

