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python tensorflow pytorch llms rag📋 Description
- Provide technical leadership and mentorship to engineering teams.
- Lead design, development, and deployment of AI features; end-to-end ownership in Agile.
- Lead technical design meetings and produce scalable, secure AI architecture docs.
- Align solutions with long-term product strategy and roadmaps.
- Implement and optimize LLMs, including fine-tuning and evaluation.
- Develop AI agents powered by RAG systems with external knowledge sources.
🎯 Requirements
- 2-5 years experience with LLMs and transformer basics.
- Experience designing AI agents with multi-agent orchestration and planning.
- Hands-on with LangGraph, CrewAI, or AutoGen; RAG pipelines with external sources.
- In-depth knowledge of vector databases and indexing; FAISS, Pinecone, Weaviate, Milvus.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers.
- Proficiency in prompt engineering.
🎁 Benefits
- Hybrid work schedule 3 days in office and 2 days remote.
- Healthcare insurance.
- Paternity/maternity leave.
- Broadband reimbursement.
- Catered lunches and healthy snacks when in office.
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