Required Skills & Experience
• Proven expertise in architecting, developing, and deploying LLM-based solutions, including Generative AI applications.
• 3
- 4 years of experience working in a corporate environment.
• Strong LLMOps proficiency, including prompt engineering, model evaluation methodologies, and model orchestration.
• Robust full-stack engineering experience with Python and TypeScript.
• Hands-on experience with FastAPI / Django and RESTful API development.
• Solid knowledge of SQL, database management, and cloud-native application architectures.
• Experience with Microsoft Azure cloud services and containerized deployments using Docker.
• Comprehensive experience across :
• Machine Learning
• Natural Language Processing (NLP)
• Computer Vision
• Statistical Modelling
• Data Processing Pipelines
• Data Visualization using Power BI

Key Responsibilities
• Architect,



develop, and deploy scalable LLM and Generative AI applications.
• Design and implement prompt engineering, evaluation, and orchestration workflows.
• Build robust backend services and APIs using Python, FastAPI, and Django.
• Develop full-stack solutions using Python and TypeScript.
• Deploy and manage containerized applications using Docker and Azure services.
• Develop and maintain data processing and machine learning pipelines.
• Apply ML, NLP, computer vision, and statistical modelling techniques to business use cases.
• Build interactive dashboards and data visualizations using Power BI.
• Ensure application scalability, performance, reliability, and maintainability. (ref:hirist.tech)

📌 Allianz - Full Stack Generative AI/LLM Engineer (Thiruvananthapuram)
🏢 Allianz PNB Life
📍 Thiruvananthapuram