About the job
At Tecsys, we recognize the numerous benefits of remote work for employee well-being and the environment, including enhanced morale, increased productivity, and reduced commuting time. We take pride in being a remote-first company, supported by cutting-edge technologies and programs that facilitate this work model. Our well-located offices and collaborative workspaces provide our team with the freedom and flexibility to work in ways that maximize productivity.
About Tecsys
Tecsys is a rapidly growing innovator that delivers supply chain solutions to leading healthcare systems, hospitals, pharmacies, distributors, retailers, and third-party logistics providers. We collaborate with industry leaders to transform their supply chains through technology. If you enjoy tackling challenging problems with opportunities for continuous learning, we welcome you to join our team!
Our Product & Technology team leverages operational research and AI/ML technologies to design next-generation supply chain solutions. We embrace a pragmatic and hands-on approach to AI, addressing challenges in warehousing, distribution, transportation, and inventory management. We are currently seeking a Senior AI/ML Developer to join our team and help drive AI, ML, data science, and operational research initiatives, making meaningful recommendations across various supply chain use cases.
How Will You Contribute to the Team?
As the AI expert within the team, you will work closely with development teams to spearhead the creation of new features, offering actionable business insights to our clients and end-users. Your efforts will enable them to manage their operations more efficiently.
You will identify, coordinate, and develop data science solutions to build predictive and prescriptive models, designing AI/ML/agent solutions utilizing data pipelines to tackle supply chain issues. Additionally, you will participate in the design and development of production-quality AI systems, including features based on large language models (LLM), retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows. You will assist in transforming experimental AI capabilities into reliable, scalable, and measurable product features.

