Senior Data & AI Engineer
Tasks
- Apply prompt engineering and evaluation
- Build agentic workflows and tool using agents
- Build microservices and backend services
- Build vector database based retrieval
- Collaborate to deliver data driven cybersecurity features
- Create asynchronous data flows
- Create internal proof of concept tools
- Design and prototype LLM powered systems
- Design and scale production data pipelines
- Develop AI assisted coding and debugging workflows
- Develop reliable APIs and integrations
- Ensure data integrity reliability scalability
- Implement event-driven architectures
- Implement retrieval-augmented generation pipelines
- Integrate orchestration frameworks
- Transform cybersecurity data into explainable AI capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agents SDK | Apache Kafka | Apache Spark | Asynchronous processing | CI/CD | Databricks | Embeddings | Event Driven | Event-driven architecture | FinOps | Git | Langchain | Langgraph | Microservices | Observability | OpenAI Agents | OpenAI Agents SDK | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Security | Vector Database
Education
N/A
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