AI / ML Engineer
Tasks
- Build ingestion and indexing pipelines
- Develop agent tools for semantic search
- Develop agent tools for structured queries
- Develop agent tools for workflow actions
- Develop retrieval pipelines
- Implement APIs and microservices
- Implement agentic workflows and orchestration logic
- Implement auditing
- Implement grounding strategies
- Integrate an agentic AI system with data platforms
- Integrate authentication and authorization
- Optimize query routing and caching
- Package system into deployable services
- Support pilot deployments
- Support prototyping and demos
Perks/Benefits
- N/A
Skills/Tech-stack
Auditing | Authentication | Authorization | Caching | Cloud services | Data Lake | DevOps | Distributed Systems | Embeddings | Hybrid search | Metadata indexing | Microservices | Python | RAG | REST APIs | Retrieval Pipelines | SQL | Semantic Search | Vector Store
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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