Agentic AI/ML Engineer
Tasks
- Automate engineering support and operational workflows
- Build agentic workflows
- Build automated testing pipelines
- Collaborate with engineering product and field teams
- Create evaluation frameworks for agent quality
- Deploy AI powered tools and customer insights
- Develop AI Ops platform infrastructure
- Implement retrieval-augmented generation pipelines
- Improve observability and monitoring for AI systems
- Integrate vector databases and knowledge graphs
- Measure reliability safety latency and business impact
- Orchestrate tools and memory for agents
- Prototype and iterate agent native solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Artificial Intelligence | Automated testing | Azure | Benchmarking | CI/CD | CrewAI | Docker | Evaluation | Google Cloud | Knowledge graph | Langchain | Langgraph | Llamaindex | Machine Learning | Memory Management | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Planning | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Tool use | Tracing | Vector Database | Vector Search
Education
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