Job Description
About Role :
We are hiring an innovative AI Developer to create, test, and integrate LLM-based multi-agent systems into our AI-powered Co-pilot IDE. The role involves crafting intelligent agents that collaborate seamlessly, enhancing productivity in IDE environments. A focus on multi-agent collaboration frameworks and RAG pipelines is essential.
Key Responsibilities:
- Design and integrate multi-agent systems powered by LLMs for IDE environments.
- Develop and test robust model-serving pipelines and proxies using tools like TorchServe, Triton, or FastAPI.
- Fine-tune LLMs using methods such as LoRA, QLoRA, or Prompt Tuning.
- Implement multi-agent frameworks like CrewAI, AutoGen, or custom frameworks for agent collaboration.
- Develop and optimize RAG pipelines and evaluate their performance with tools like LangChain or Haystack.
- Conduct model performance testing with domain-specific metrics to ensure optimal results.
- Integrate AI solutions with mobile application frameworks like React Native, Flutter, or Kotlin.
Ensure robust data pipelines to support both multi-agent and model integration workflows
- Ensure robust data pipelines to support both multi-agent and model integration workflows.
