Role overview
Build and maintain Python-based LLM applications and Autonomous Agents
Utilize best of class tools within LLM ecosystem (e.g. Langchain, LlamaIndex, etc)
Utilize best-of-class indexing tools (e.g. RAG, Vector Databases, etc)
What you'll work on
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Build and maintain Python-based LLM applications and Autonomous Agents
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Utilize best of class tools within LLM ecosystem (e.g. Langchain, LlamaIndex, etc)
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Utilize best-of-class indexing tools (e.g. RAG, Vector Databases, etc)
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Utilize best-of-class Agent-based LLM tooling (e.g. AutoGPT, RoboGPT, SuperAGI, etc)
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Research and keep up with SOTA LLM models (e.g. GPT-4, LLaMA-based models, etc)
What we're looking for
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Experience with LLMs, including popular foundation models like GPT-4, Claude, and local AIs like Llama2
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Experience with LLM related development, e.g. Llamaindex, Langchain, Vector DBs, Prompt Engineering etc
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Nice to have Experience running LLMs in production (e.g. LLMOps, Observability etc)
- Proficiency in English communication, both written and verbal, for effective collaboration within an international team setting