Senior AI/ML Full Stack Engineer
Summary
Senior AI/ML engineer building RAG pipelines, LLM-based applications, semantic search, and full-stack features including backend services, REST APIs, and front-end UIs, with MLOps, prompt engineering, and Azure DevOps CI/CD.
- Build RAG pipelines
- Build backend services and data integrations
- Build document ingestion workflows
- Build front-end user interfaces
- Create LLM safety guardrails
- Deploy and troubleshoot applications
- Design AI ML solutions with large language models
- Design CI/CD pipelines with Azure DevOps
- Develop REST APIs for AI services
- Implement authentication and authorization
- Implement semantic search with embeddings
- Maintain modular MLOps architecture
- Perform prompt engineering and LLM evaluation
- Set up production monitoring and observability
Perks/Benefits:
- Fully remote
- W2 only