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Machine Learning Engineer - Applied LLMs

Strativ Group

San Francisco · On-site Full-time Senior $180k – $240k/yr 4d ago

About the role

About

We are currently partnered with a fast-growing heavily-funded AI startup who are revolutionizing Healthcare through cutting-edge Automation. Their product is used by 500,000 users and the business are backed by a host of Tier-1 VCs. This is an opportunity to build a product that has significant impact, both to large Healthcare firms, but also to consumers at the end of the line.

They are looking for Machine Learning Engineers who bridge the gap between Machine Learning and Software Engineering to help shape the future of AI-powered Healthcare automation.

Responsibilities

  • Design, build, and deployment of AI models to power the autonomous sales agent
  • Develop and optimize LLM pipelines for real-time, personalized outreach
  • Work closely with the product and engineering teams to integrate AI capabilities into the platform
  • Lead prompt engineering, fine-tuning, and multi-agent architectures

Key Experience

  • 4+ Years' commercial exp. in AI / Machine Learning
  • Experience building and shipping AI/ML models (e.g., LLMs, RAG pipelines, NLP applications)
  • Proficiency in Python and frameworks such as PyTorch or TensorFlow
  • Experience with vector databases and tools like LangChain or LlamaIndex
  • Strong problem-solving skills and a builder’s mindset
  • Experience in a startup or fast-paced environment is a plus

We are looking for people with a track record of building and shipping quickly, and who have experience working in dynamic startups.

Please apply for more info.

Skills

LangChainLlamaIndexLLMsNLPPyTorchPythonRAGTensorFlowvector databases

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