onsite
AI Architect - Rytsense Technologies
Software Engineer
Lead the design and deployment of Agentic AI, Generative AI, and LLM-driven solutions across enterprise applications, leveraging cloud platforms, prompt engineering, and advanced data pipelines to deliver scalable, high‑impact AI services.
About the role
Key Responsibilities
- Architect and design end‑to‑end AI systems using LLMs, GenAI, and Agentic AI frameworks.
- Define AI/ML solution architecture covering data ingestion, model training, orchestration, and deployment on 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 production‑ready solutions.
- Ensure scalability, reliability, and security of AI services across multi‑cloud environments.
Requirements
- Proven experience designing and deploying LLM‑based solutions at scale.
- Strong knowledge of cloud AI services (Azure AI, AWS Bedrock, GCP Vertex AI).
- Hands‑on expertise in prompt engineering, RAG, and model fine‑tuning.
- Solid understanding of data pipelines, orchestration tools, and CI/CD for ML.
- Excellent communication skills and ability to bridge research and production teams.