This role focuses on developing and deploying large language model applications.
Responsibilities
- Design and implement LLM-powered applications using GenAI frameworks.
- Build and optimize RAG pipelines for enterprise use cases.
- Develop Agentic AI systems and multi-agent workflows.
- Integrate LLMs with external data sources and APIs.
- Develop scalable backend services using Python.
Required Skills
- 12+ years of professional experience.
- Proficiency in Python.
- Experience with Rag implementation.
- Familiarity with Agentic AI concepts.
- Knowledge of LLM Engineer principles.
- Experience with AWS, Azure, or GCP.
- Understanding of MLOps practices.
- Hands-on experience with real-time AI applications or chatbots.
Preferred Skills
- Experience building AI Agents or Autonomous Systems.
- Strong understanding of NLP and Machine Learning concepts.