Lead the design and development of intelligent systems powered by LLMs (e.g., GPT, Claude, Gemini, or open-source models).
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.
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.
Stay on the cutting edge of LLM advancements and proactively translate them into enterprise-ready solutions.
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.
Benefits
Health insurance
Retirement plans
Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.