GenAI Engineer – LLM, RAG, Agentic AI & MLOps
- Practices
- MLOps
- Education
- Master's degree
Job Summary Synechron is seeking a seasoned Gen AI Engineer to lead the development and deployment of agentic AI solutions supporting enterprise business processes. This role involves designing, fine-tuning, and implementing large language models (LLMs), retrieval-augmented generation (RAG) systems, and multimodal agents, with a focus on delivery, performance, and operational security. The ideal candidate will leverage extensive experience in Python, cloud platforms, and AI frameworks, collaborating across teams to innovate and provide scalable, secure AI solutions that support business growth.
Software
Required Software Proficiency: Python (latest stable version, e.g., Python 3.8+) — extensive hands-on experience supporting training, fine-tuning, and inference of large AI models (supporting 5+ years) AI Frameworks: PyTorch, TensorFlow — proven expertise in training, deploying, and optimizing deep learning models supporting generative and multimodal capabilities Large Language Models: GPT, Claude, Llama, Gemini, or similar — experienced in prompt engineering, fine-tuning, and deployment support (supporting 3+ years) Cloud Platforms: AWS, Azure, or GCP — experience deploying and managing scalable AI models supporting enterprise solutions (preferred support, 3+ years) Model orchestration & management: M
Lflow, Kubeflow supporting model lifecycle, versioning, and monitoring (preferred support) Data processing: Pandas, NumPy supporting data preparation and feature eng