Senior AI Engineer – RAG, LightRAG Framework Expert
SereneAid
AzurePostgresPython
Job Level
Senior
Tech Stack
Python
About the role
- Define AI roadmap, select tools, and set technical foundation for AI/ML efforts
- Design and deploy the first set of AI-powered features, moving prototypes to production
- Architect and implement robust LLM orchestration systems for reliable, scalable features
- Integrate AI/ML models with the existing SaaS platform, leveraging RAG with proprietary data
- Establish best practices for the full AI/ML lifecycle, from model evaluation to deployment and monitoring
- Build standards, choose architecture, and establish patterns for future AI/ML team
- Report directly to the VP of Engineering and collaborate within a 30-person engineering organization
Requirements
- Proven experience building and shipping AI/ML features in a production environment
- Hands-on experience with Large Language Models (LLMs) like GPT, Claude, or open-source alternatives
- Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar tools
- Experience with vector databases (e.g., Pinecone, Chroma) and embedding techniques
- Strong programming skills, particularly in Python
- Experience working within an established codebase
- Excellent communication skills and ability to articulate complex technical concepts to all audiences
- (Bonus) Experience with model fine-tuning and building complex, multi-step AI agents
- Must have proper work authorization to work for any employer in Canada, without sponsorship from the company
