Principal Engineer – Generative AI & LLM Platforms
USD 153K-315K (estimate) Senior-level Full Time
Tasks
- Build production grade LLM and agentic solutions
- Create LLM evaluation and safety guardrails
- Deliver agile prototypes and product ionization
- Design prompt engineering and model customization workflows
- Design scalable low latency multi tenant distributed systems
- Develop generative AI and LLM platform architectures
- Implement RAG and tool calling workflows
- Lead technical strategy multi year product roadmaps
- Manage observability SLOs incident response capacity and cost
- Mentor engineers and drive cross team influence
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adversarial Testing | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Bedrock | Amazon EKS | Amazon EMR | Amazon S3 | Apache Flink | Apache Spark | Aurora PostgreSQL | Bias and fairness | CI/CD | Distributed Systems | Embeddings | Fine Tuning | Golang | Guardrails | Hugging Face | Hugging Face Transformers | Hybrid Cloud | Incident Response | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Langgraph | Llamaindex | MLOps | Model Evaluation | Network routing | Network routing and switching | Observability | PGVector | Privacy | Prompt engineering | PyTorch | Python | RAG | Routing | Routing and Switching | SLOs | Switching | Tokenization | VPC | Vector Databases | “as-code”
Education
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