Principal Engineer – Generative AI & LLM Platforms
USD 153K-315K (estimate) Senior-level Full Time
Tasks
- Build LLM evaluation guardrails and safety mechanisms
- Define technical strategy and multi year product roadmap
- Deliver agile proofs of concept and productization
- Design production grade LLM and agentic solutions
- Design scalable low latency multi tenant distributed systems
- Develop generative AI and LLM platform architecture
- Evaluate emerging technologies for customer innovation
- Implement observability SLOs incident response and capacity planning
- Implement prompt engineering fine tuning and model customization
- Lead mentoring and cross team technical delivery
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adversarial Testing | Agents | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Bedrock | Amazon EKS | Amazon EMR | Amazon S3 | Apache Flink | Apache Spark | Aurora PostgreSQL | Automated Model Evaluation | Batch inference | Bias Mitigation | CI/CD | Cost Optimization | Distributed Systems | Embeddings | Experiment tracking | Explainability | Fine Tuning | Go | Hugging Face | Hugging Face Transformers | Hybrid Cloud | Infrastructure as Code | Kubernetes | LLM Evaluation | LLMOps | Langchain | Langgraph | Llamaindex | MLOps | Model Evaluation | Model Registry | Network Security | Network routing | PGVector | Performance | Privacy | Private Connectivity | Prompt engineering | PyTorch | Python | RAG | Red Teaming | Reliability | Safety | Scalability | Security | Semantic Caching | Streaming inference | Switching | Tokenization | Tool-Calling | Transformer | VPC | “as-code”
Education
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