Description
Responsibilities
Qualifications
- Develop GenAI applications using LLMs (OpenAI, LLaMA, etc.)
- Build RAG pipelines and agent-based systems (LangChain, LlamaIndex)
- Design prompts, optimize outputs, and implement guardrails
- Integrate AI models into APIs and production systems
- Deploy solutions on cloud (Azure/AWS/GCP)
Responsibilities
- Develop GenAI applications using LLMs (OpenAI, LLaMA, etc.)
- Build RAG pipelines and agent-based systems (LangChain, LlamaIndex)
- Design prompts, optimize outputs, and implement guardrails
- Integrate AI models into APIs and production systems
- Deploy solutions on cloud (Azure/AWS/GCP)
Qualifications
- Strong Python + API development
- Experience with LLMs, embeddings, vector DBs (FAISS, Pinecone)
- Knowledge of NLP, prompt engineering, and GenAI frameworks