Lead AI Engineer (Generative AI & LLMOps)
Tasks
- Architect retrieval-augmented generation systems
- Build LLM orchestration chains and agents
- Design RAG pipelines with chunking and embeddings
- Develop APIs for LLM streaming and error handling
- Implement model hosting and selection tradeoffs
- Integrate LLM services into application ecosystem
- Mentor team on AI engineering best practices
- Optimize prompts to reduce hallucinations
- Set up AI evaluation and observability frameworks
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | BentoML | Data leakage | FastAPI | Few-Shot Learning | Few-shot | Flask | Haystack | Hugging Face | Langchain | Langsmith | Llamaindex | LoRA | Modal | Multi-Modal | Multi-modal AI | OpenAI API | PEFT | PGVector | Pinecone | Prompt engineering | Prompt injection | Python | QLoRA | Ragas | Retrieval-Augmented Generation | Streaming APIs | TruLens | VLLM | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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