Senior Generative AI Engineer - LLM

Responsibilities & Key Deliverables :

We are looking for an experienced Senior Generative AI Engineer to join our GenAI Solutions team. The ideal candidate will bring extensive expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems, along with a strong background in cloud-native development and enterprise-scale deployments.

This role is critical in driving our AI innovation strategy and delivering impactful, production-ready solutions for business transformation.

• Lead the end-to-end design, development, and deployment of Generative AI applications, including LLM-powered workflows, RAG pipelines, and Agentic AI solutions.
• Architect secure and scalable AI infrastructures using cloud platforms (GCP, AWS, Azure).
• Apply fine-tuning, advanced prompt engineering, and LLMOps best practices to enhance solution performance and relevance.
• Build, optimize, and maintain APIs and microservices (FastAPI, REST, Spring Boot) to integrate AI solutions into enterprise applications.
• Develop and manage data pipelines, vector databases, and Elasticsearch integrations for real-time knowledge retrieval and decision-making.
• Implement MLOps, CI / CD, and DevOps practices using Kubernetes, Docker, Jenkins, and Ansible for robust deployment and monitoring.
• Ensure high availability, logging, and performance monitoring through ELK stack and infrastructure-as-code practices.
• Collaborate with cross-functional teams to align AI solutions with business goals and operational requirements.
• Mentor and guide junior engineers, setting best practices for scalable AI development.

Experience :

Qualifications :

(ref : hirist.tech)