Senior GenAI Engineer
Tasks
- Apply least privilege access controls and audit logging
- Build CI CD model release and rollback pipelines
- Build LLMOps reproducible data pipelines
- Build plan act verify agents
- Collaborate with researchers and product teams
- Create evaluation harnesses and regression suites
- Deploy production agentic systems
- Design reliable tools and APIs
- Develop RAG pipelines with hybrid search
- Implement embeddings vector retrieval reranking
- Implement end-to-end AI solutions
- Implement idempotency timeouts retries
- Implement safety defenses prompt injection exfiltration
- Integrate caching and safe termination
- Operate LLM serving stacks
- Optimize GPU utilization latency and cost
- Select and fine-tune models
- Set up tracing and telemetry for observability
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Access Control | B testing | CI/CD | Distillation | Docker | Embeddings | Experiment tracking | Fine Tuning | Generative AI | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | LoRA | Logging | Long Context | MLOps | Machine Learning | Model Registry | Orchestration | Parameter efficient fine-tuning | Prompt engineering | Python | Quantization | RAG | Reranking | Security Testing | Semantic Kernel | Telemetry | Tracing | Vector Database | “as-code”
Education
N/A
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