AI Solutions Engineer/Data Scientist

Allianz Technology; Pune District, Thiruvananthapuram; Ibrido; INR 1.200.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Allianz Technology in Pune seeks an innovative AI Solutions Engineer to architect and deploy end-to-end LLM solutions, including generative AI apps, RAG systems, and multimodal capabilities.

The role emphasizes LLMOps, prompt engineering, evaluation methodologies, and delivering production-grade, high-confidence AI solutions. You will collaborate with cross-functional teams and leverage Azure, Docker, Python, TypeScript, and Power BI to build scalable AI capabilities.

Competenze

• Architect and deploy end-to-end LLM solutions including generative AI and RAG systems.
• 3-4 years of corporate experience in AI/ML roles.
• Strong LLMOps proficiency: prompt engineering, evaluation methodologies, and model orchestration.
• Robust full-stack background: Python, TypeScript, FastAPI/Django, RESTful API design, SQL, and cloud-native Azure.
• Experience with containerized deployments using Docker and Azure services.
• Data visualization with Power BI and ML/NLP/CV exposure.

Mansioni

• Architect and deploy comprehensive LLM solutions across AI applications.
• Collaborate with cross-functional teams to integrate AI frameworks.
• Optimize AI solutions for performance and reliability.
• Deliver high-confidence, production-grade AI solutions.

Conoscenze

LLM architecture

LLMOps

Prompt engineering

Model orchestration

Full-stack

Python

TypeScript

FastAPI/Django

REST API

SQL

Azure

Power BI

NLP/CV

Strumenti

Docker

Azure services

Descrizione del lavoro

Role & responsibilities

We are looking for an innovative AI Solutions Engineer to join our team at Allianz.

This role involves architecting and deploying end-to-end LLM solutions, including generative AI applications, Retrieval-Augmented Generation (RAG) systems, agentic AI frameworks, document automation pipelines, and multimodal model capabilities. The ideal candidate will have strong LLMOps proficiency, encompassing prompt engineering, evaluation methodologies, model orchestration, standardized output structures, and delivery of high-confidence, production-grade AI solutions.

Key Responsibilities:

• Architect and deploy comprehensive LLM solutions across various AI applications.
• Collaborate with cross-functional teams to ensure seamless integration and operation of AI frameworks.
• Optimize AI solutions for performance and reliability.
• Deliver high-confidence, production-grade AI solutions.

Preferred candidate profile

• Proven expertise in architecting and deploying LLM solutions, including generative AI applications.
• 3-4 years experience working in a corporate context
• Strong LLMOps proficiency in prompt engineering, evaluation methodologies, and model orchestration.
• Robust full-stack engineering background with Python, TypeScript, FastAPI/Django, RESTful API design, SQL, and cloud-native architectures on Azure.
• Experience with containerized deployments using Docker and Azure services.
• Comprehensive experience across machine learning, NLP, computer vision, statistical modeling, data-processing pipelines, and data visualization using Power BI.

Allianz People Attributes:

• Customer & Market Excellence
• Collaborative Leadership
• Entrepreneurship
• Trust

Learning and Development:

At Allianz, we are committed to your lifelong learning and development. You will have access to LinkedIn Learning and other resources to enhance your skills and expertise.