Applied AI Engineer - Consulting Manager
Tasks
- Apply monitoring and evaluation
- Build microservices and integrations
- Build production-grade AI systems
- Collaborate with stakeholders
- Design and implement AI agents
- Design and implement RAG pipelines
- Document reusable patterns
- Drive testing and iteration
- Ensure reliability, security and observability
- Implement Responsible-AI guardrails
- Plan releases
- Shape MVP scope and backlog
- Support workshops demos and solution reviews
- Translate requirements into engineering tasks
Perks/Benefits
Skills/Tech-stack
API Design | Access Management | Agent Frameworks | Apache Spark | Async Programming | Azure | CI/CD | Databricks | Docker | ELT | ETL | Embeddings | Evaluation | Event Hub | Graph Databases | Identity and Access Management | Identity and access | Kafka | Kubernetes | Language Models | Large Language Models | Microservices | Monitoring | Python | Responsible AI | Retrieval-Augmented Generation | Secure networking | Serverless | Testing | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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