Senior AI Backend Engineer
Tasks
- Architect LLM-powered systems
- Build LLM and RAG pipelines
- Build agentic workflows
- Build data pipelines
- Collaborate with stakeholders
- Design AI evaluation strategies
- Design AI-driven solutions
- Develop backend APIs
- Develop production grade AI services
- Ensure data quality and contextual grounding
- Ensure reliability and observability
- Implement semantic search
- Implement testing and deployment
- Implement vector search
- Integrate external systems
- Mentor junior team members
- Monitor AI systems in production
- Perform prompt engineering
- Translate requirements into AI services
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | Agentic Workflows | Async/Await | Backend APIs | CI/CD | Data Pipelines | Docker | Git | GraphRAG | LLM | Mypy | Observability | OpenSearch | Prompt engineering | Pydantic | Pytest | Python | RAG | Ruff | Semantic Search | Typing | Vector Database | Vector Search
Education
N/A
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