Senior Generative AI Engineer

3 weeks ago


Mumbai, India Skyleaf Full time

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 : - 2+ years of professional software engineering experience, with Generative AI/LLM application development.Qualifications : - A masters degree in computer Proven expertise in LLMs, LangChain, LangGraph, RAG systems, and Agentic AI frameworks.- Proficiency in Python (advanced).- Strong knowledge of cloud platforms : GCP, AWS, Azure.- Hands-on experience with MLOps & DevOps practices : Kubernetes, Docker, Jenkins, Ansible, Infrastructure-as-Code.- Experience with databases and data pipelines : PostgreSQL, SQL, Vector Databases, Elasticsearch.- Familiarity with API development frameworks : FastAPI.- Excellent analytical and problem-solving skills with the ability to lead AI initiatives end-to-end.- Strong communication skills with experience in working across cross-functional and distributed teams. (ref:hirist.tech)


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