onsite
AI Architect - Rytsense Technologies Private Limited
Software Engineer
Lead the design and deployment of Agentic AI, Generative AI, and LLM-driven solutions, crafting end‑to‑end architectures across Azure, AWS, and GCP while mastering prompt engineering, RAG, and model fine‑tuning.
About the role
Key Responsibilities
- Architect and design end‑to‑end AI systems leveraging LLMs, GenAI, and Agentic AI frameworks.
- Define AI/ML solution architecture covering data ingestion, model training, orchestration, and deployment across Azure, AWS, and GCP.
- Lead prompt engineering, Retrieval‑Augmented Generation (RAG), and fine‑tuning of open‑source and proprietary LLMs such as GPT, Claude, Gemini, and LLaMA.
- Collaborate with research and production teams to translate cutting‑edge research into scalable, production‑ready solutions.
- Ensure robust monitoring, performance tuning, and security compliance for deployed AI services.
Requirements
- Proven experience designing and deploying LLM‑based solutions in cloud environments.
- Strong background in prompt engineering, RAG, and model fine‑tuning.
- Hands‑on expertise with Azure, AWS, or GCP AI/ML services.
- Excellent communication skills and ability to bridge research and production teams.