AI Engineer - 3
Tasks
- Build and optimize LLM powered pipelines
- Design and improve speech processing pipelines
- Design and operate high throughput multi tenant backend services
- Develop and scale AI agents with guardrails
- Implement cost tracking and observability for AI workloads
- Own end-to-end software development lifecycle
Perks/Benefits
Skills/Tech-stack
ASR | AWS | Audio Processing | Azure | CI/CD | Caching | Columnar Analytics | Concurrency | DNS | Data Structures | Data Structures and Algorithms | Database Design | Distributed Systems | Docker | Elasticsearch | Embeddings | Fine Tuning | Firewalls | GCP | Go | Google Gemini | Grafana | Graph Databases | Graph Query | Graph Query Languages | IP streaming | Java | Kibana | Kubernetes | LLM APIs | Linux | Load Balancing | Message Brokers | Microservices | Microsoft Azure | Model Fine-tuning | Multi-tenancy | Multithreading | Noise Reduction | OpenAI | Prompt engineering | Proxies | Python | Query languages | RAG | RESTful APIs | Retrieval strategies | SaaS | Search and analytics | Self-hosting | Speaker Diarization | Streaming audio | Streaming audio processing | Structured Output | TTS | Tenant Isolation | VAD | Vector Databases | Whisper
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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