Sr. Ai Engineer

Regenerativebiomaterials

On-site (many roles require in-person presence)
Llm integration (openai, anthropic, google)
Rag-based architectures
Python and fast api microservices
Regenerative Biomaterials is seeking a Senior AI Engineer to join their AI & ML Engineering team. The role requires expertise across the full development stack, focusing on AI-driven products, front-end and back-end development, and cloud-native deployments. The position emphasizes collaboration with cross-functional teams to deliver innovative solutions in the pharmaceutical industry

Job Summary

  • This role spans the full development stack — from designing intuitive, responsive front-end experiences to building robust, scalable backend services and data pipelines that power enterprise AI solutions.
  • You will work on advanced projects involving LLM integration, RAG-based architectures, and cloud-native deployments, delivering end-to-end AI-driven products that are performant, reliable, and production-ready.
  • We have an inclusive culture that provides comprehensive benefits, which vary by location.

Matching Summary

Match Score: 85

Regenerative Biomaterials is seeking a Senior AI Engineer to join their AI & ML Engineering team. The role requires expertise across the full development stack, focusing on AI-driven products, front-end and back-end development, and cloud-native deployments. The position emphasizes collaboration with cross-functional teams to deliver innovative solutions in the pharmaceutical industry.

Skills & Requirements

Must-have

  • LLM integration (OpenAI, Anthropic, Google)
  • RAG-based architectures
  • Python and Fast API microservices
  • Next.js and React.js front-end
  • AWS EKS Kubernetes deployments
  • Vector databases (Milvus)

Nice-to-have

  • Pharmaceutical industry standards
  • UX/design principles for AI products
  • Image processing workflows
  • Modern front-end tooling

Key Requirements

  • 5+ years of relevant experience
  • Bachelor’s or Master’s degree in Computer Science
  • Experience with Kubernetes and AWS EKS
  • Hands-on experience with LLM integration
  • Familiarity with vector databases and RAG
  • Solid understanding of SQL and data pipelines
  • Jenkins, Bitbucket, Atlassian suite experience

Work Rights

Not specified

Tailored Resume

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