Remote AI Engineering Lead - Senior AI Engineer

February 4

Apply Now

Receive Emails with Similar Jobs

StarBridge Advisors

WebsiteLinkedInAll Job Openings

StarBridge Advisors is a consulting firm specializing in IT advisory services specifically for the healthcare industry. They provide a range of services including CIO advisory, IT leadership support, interim management, and coaching for health IT leaders. The company is known for its experienced team of advisors and thought leaders who bridge the gap between practical solutions and complex challenges faced by healthcare organizations. Their commitment to supporting female leaders in health IT through initiatives like C-CHANGE further underlines their dedication to driving positive change within the industry.

Heathcare IT • C-Suite Advisory Services • Interim Management • Leadership • Technology

2 - 10 employees

Founded 2016

⚕️ Healthcare Insurance

📋 Description

We believe the root cause of public sector inefficiency lies in a broken procurement process... Starbridge's Revenue AI Platform helps businesses grow public sector revenue. Your responsibilities Collaborate closely with our team as we productize new AI-powered capabilities: such as AI proposal writing & search experiences. Evaluate the performance of AI models (we will work with models from OpenAI, Anthropic, Gemini) & systems through rigorous testing and experimentation. Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities. Implement strong testing and CI/CD practices that help us move with confidence in our AI system development.

🎯 Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience High level of coding proficiency using Python 5+ years of professional experience in software engineering, AI/ML development including: Proficiency with production software (Python) and systems design Machine learning algorithms and model development techniques ML lifecycle tools like MLflow, dvc, weights & biases Cloud deployment of ML systems Professional experience with LLMs and large-scale models Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems Strong analytical and problem-solving skills Ability to communicate complex ideas and concepts effectively Ability to work independently and collaboratively Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc Depth of knowledge with RAG implementation and improvements

🏖️ Benefits

Offers Equity Offers Bonus