
Large Language Model Developer
6 days ago
As a conversational AI developer, you will play a pivotal role in designing and deploying large language model (LLM) powered bots that can perform tasks such as auto-reply systems, content summarizers, and viral thread generators.
Key Responsibilities:
- Design and deploy LLM-powered bots using Python and relevant libraries.
- Integrate RAG pipelines with vector databases for efficient data retrieval and processing.
- Fine-tune and open-source LLMs for bot-specific tasks such as persona mimicry and NSFW filtering.
- Optimize cost and latency by applying techniques like model quantization and caching.
- Implement stealth measures to ensure human-like delays and randomized phrasing.
Technical Stack:
- Core: Python with Tweepy, PRAW, AsyncIO, LangChain, and LlamaIndex.
- LLMs: OpenAI, Anthropic, Gemini, or self-hosted.
- Infra: AWS Lambda, FastAPI, Docker, and Redis for rate-limiting.
- Data: Vector databases, PostgreSQL, and Firebase.
- Bonus: Next.js/Streamlit for bot dashboards.
Ideal Candidate:
We are looking for a candidate with 1-2 years of experience building Python bots and worked with LLM integrations. The ideal candidate should understand detection tactics, be a pragmatic problem-solver who cares about scalability vs. cost tradeoffs, and have deployed bots at scale or contributed to open-source LLM projects.
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