TRIMEDX is looking to solve high-impact business problems across domains by building production-ready, Large Language Model (LLM)-powered applications.
Requirements
7+ years of professional software engineering experience, including full-stack or backend systems is required.
2+ years hands-on experience building, fine-tuning, or deploying LLMs or Transformer-based architectures.
Deep understanding of modern AI/ML workflows, model lifecycle management, and MLOps practices.
Strong software design and architecture skills; ability to lead development across services and applications.
Proficiency with Python, Java, or equivalent production languages.
Experience building APIs, microservices, or platform components that support machine learning models.
Proven ability to take AI initiatives from prototype to production with measurable results.
Responsibilities
Lead the design and development of intelligent systems powered by LLMs (e.g., GPT, Claude, Gemini, or open-source models).
Design robust, scalable systems that can flex with business needs.
Architect solutions that integrate AI into core business processes with measurable impact (solving problems and driving solutions that have measurable impact to the company).
Partner with product, data science, and platform teams to bring AI/ML prototypes to scalable production.
Define technical direction, coding standards, and architectural vision for AI-first products.
Build frameworks and infrastructure for prompt engineering, model fine-tuning, and real-time inferencing at scale.
Stay on the cutting edge of LLM advancements and proactively translate them into enterprise-ready solutions.
Other
Everyone is focused on serving the customer and we do that by collaborating and supporting each other
Associates look forward to coming to work each day
Every associate matters and makes a difference
Mentor engineers across the organization in AI/ML best practices and modern software design.
Work cross-functionally with teams as an informal leader to drive direction and outcomes.