Senior Staff Engineer, Python & LLM
Tasks
- Build RAG pipelines and multi-agent systems
- Build document ingestion and indexing pipelines
- Build evaluation and safety pipelines
- Deploy and manage AI systems on cloud and Kubernetes
- Deploy and scale LLM workloads
- Design and optimize LLM applications
- Develop enterprise search and knowledge platforms
- Develop prompt engineering and output pipelines
- Ensure system security and scalability
- Fine-tune and serve foundation models
- Implement scalable backend systems
- Implement semantic and hybrid search
- Integrate multimodal models
- Optimize backend performance and observability
- Set up CI/CD and monitoring
- Share knowledge on AI and backend innovations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | AWS | Adapters | Autogen | Azure | CI/CD | Chroma | Cloud Platforms | Containers | CrewAI | Distributed Systems | Django | Dspy | Embedding pipelines | Faiss | FastAPI | Fine Tuning | Flask | GCP | GraphQL | Haystack | Hybrid search | Knowledge systems | Kubernetes | LLM Deployment | LLM Frameworks | LLMOps | LM Studio | Langchain | Llamaindex | LoRA | Logging | MLOps | Microservices | Milvus | Model Fine-tuning | Model versioning | Monitoring | Ollama | Open Source | Open source LLM | Open-source LLM deployment | PEFT | Pinecone | Python | QLoRA | Qdrant | REST | Semantic Search | Streaming APIs | TGI | Tracing | Triton | VLLM | Vector Databases | Weaviate
Education
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