Related skills
docker aws postgresql python django๐ Description
- Lead AI-native development; accelerate velocity with Cursor and Augment.
- Own team architecture and long-term technical vision.
- Contribute code, tests, and deliver secure, maintainable software.
- Design and implement document processing pipelines and RAG integration.
- Own end-to-end Document AI pipelines from ingestion to output.
- Plan and manage the team's short-term roadmap; mentor engineers.
๐ฏ Requirements
- Bachelor's degree in Computer Science, Mathematics, AI/ML, or related field.
- 7+ years backend and/or ML engineering with leadership experience.
- Strong Python for production-grade backend services and data pipelines.
- Experience with Django or FastAPI.
- Hands-on with document processing pipelines (parsing, extraction, classification).
- Production RAG systems with vector stores (pgvector, Pinecone, Weaviate).
- Experience with Postgres or MySQL.
- Experience with AWS and container tech (Docker, Kubernetes).
๐ Benefits
- Health, dental, and vision care for you and your family.
- Life insurance.
- Mental wellness coverage.
- Fertility and growing family support.
- Flex Time Off in addition to company paid holidays.
- Paid family leave, medical leave, and bereavement leave policies.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest โ finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!