Senior AI Engineer – ML & Generative AI
Tasks
- Add safety controls and guardrails
- Build API based AI services
- Build CI/CD pipelines and deployment automation
- Build data ingestion and processing pipelines
- Debug production AI system behavior
- Deploy and harden production AI systems
- Design REST and gRPC services
- Design and build end-to-end AI systems
- Implement error handling and fallback mechanisms
- Implement kill switches and configurable policies
- Implement logging metrics tracing and dashboards
- Implement resilience patterns rate limiting failover and kill switch mechanisms
- Integrate and orchestrate ML and LLM services
- Mitigate prompt injection via input validation
- Optimize performance, latency, and cost
- Perform feature engineering and prompt construction
- Plan scalability and reliability
- Refactor and test PoCs for production readiness
- Select traditional ML or LLM approaches
- Translate business problems into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Code Versioning | Configuration Versioning | Docker | Failover | GCP | GRPC | Generative AI | Java | JavaScript | Kubernetes | LLM | Langchain | Langgraph | Logging | Model versioning | Monitoring | Node.js | Observability | Prompt engineering | PyTorch | Python | RAG | REST | Rate Limiting | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Tracing
Education
N/A
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