Job Title: Senior Machine Learning Engineer Company Name: Botify Tech Job Url: https://www.linkedin.com/jobs/view/4387420242/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=lH5tmUQycNYjKas%2B4vCMfQ%3D%3D&trackingId=uXh%2BrPLiZFsg2Xpr%2FS2ttw%3D%3D Job Description: Botify Tech Senior Machine Learning Engineer United States · 4 hours ago · Over 100 applicants Promoted by hirer · No response insights available yet $250K/yr - $320K/yr Remote Full-time Easy Apply Save Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for Rs 0 Show match details Tailor my resume Help me stand out People you can reach out to Meet the hiring team Adalberto Pinto • 3rd Partnering with Founders and C-level leaders to build high-impact AI and engineering teams. Job poster Message About the job Senior Machine Learning Engineer – LLMs $250,000 - $320,000 Remote role or Hybrid NYC - San Francisco Botify Tech has partnered with one of the top AI companies globally, currently looking to hire a Principal AI Engineer with a strong background in LLMs. This business is one of the very few building LLMs from scratch, not just fine-tuning existing models. In just over five years, they have built multiple AI products that are now generating millions in revenue and are making a significant impact across the AI ecosystem. What You’ll Be Working On Designing, training, and optimizing transformer-based LLMs from scratch Applying model compression and optimization techniques to reduce latency and cost in production Deploying and operating ML models at scale (batch & real-time) Defining and leading evaluation strategies for Agentic AI and RAG systems, translating business workflows into measurable success metrics Monitoring production KPIs such as latency, cost, reliability, and performance Collaborating closely with analytics teams and stakeholders to productionise ML models end-to-end Contributing to and improving ML infrastructure across the full model lifecycle Participating in code reviews to maintain high standards of code quality and consistency Required Experience 3–4+ years of commercial experience delivering ML projects end-to-end Deep understanding of transformer architectures, training pipelines, and experimentation Hands-on experience deploying ML systems in production environments Proven experience with LLM training, optimization, or compression Strong engineering mindset with the ability to balance research and production constraints This is a rare opportunity to work on real LLM engineering, not hype-driven projects. For more information: Email me directly at pinto@botifytech.com