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6 days ago
We're an early-stage startup building AI-driven digital products that blend large language models with scalable solutions.
About the Role- Design and deploy LLM-powered bots for enhanced user experience.
- Integrate RAG pipelines with vector databases for real-time insights.
- Fine-tune open-source LLMs for persona mimicry, content filtering, and more.
- Optimize performance with model quantization, caching, and hybrid logic.
- Implement stealth measures for a seamless user experience.
- Core: Python (Tweepy, PRAW, AsyncIO, LangChain, LlamaIndex)
- LLMs: OpenAI, Anthropic, Gemini, or self-hosted models
- Infra: AWS Lambda, FastAPI, Docker, Redis (for rate-limiting)
- Data: Vector DBs (Pinecone), PostgreSQL, Firebase
- Bonus: Next.js/Streamlit for bot dashboards
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