Senior AI Engineer
Tasks
- Advise AI roadmap and investment priorities
- Align ML and LLM pipelines with MLOps
- Build RAG agents and automation
- Create prompt patterns and guardrails
- Design LLM architecture
- Develop internal AI platform SDKs and libraries
- Evaluate and improve LLM outputs
- Implement retrieval-augmented generation pipelines
- Integrate AI services with monitoring and alerting
- Mentor engineers on AI engineering patterns
- Optimize prompts caching and model selection
- Own AI feature rollout and continuous improvement
- Produce technical plans and prototypes
- Ship AI features end to end
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agentic AI | Amazon Bedrock | CI/CD | Data Pipelines | Docker | Enterprise Search | Error Rate Monitoring | Error rate | Experiment tracking | IAM | Injection Protection | Knowledge graphs | Latency monitoring | Logging | Microservices | Model Evaluation | Model versioning | Monitoring | Ontology | Prompt engineering | Prompt injection | Prompt versioning | Prompt-injection protection | Python | Quality metrics | RAG | Rate monitoring | Security Compliance | Serverless | System design | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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