Allianz is Hiring GEN AI Fullstack Engineer | Finsplitz

Introduction

Are you a visionary and technically adept engineer excited to shape the future of insurance and financial services with cutting-edge Generative AI? Allianz, a global leader in insurance and asset management, is actively seeking talented GEN AI Fullstack Engineers to join its innovative technology hubs in India. This is an unparalleled opportunity to work at the intersection of fullstack development and advanced AI, building ground-breaking solutions that will revolutionize customer interactions, claims processing, product development, and operational efficiency across the enterprise. If you are passionate about bringing AI models from research to production, thrive in a dynamic environment, and possess expertise across the entire software stack, Allianz offers an exciting and deeply impactful career.

Roles and Responsibilities

As a GEN AI Fullstack Engineer at Allianz, you will play a pivotal role in the end-to-end development and deployment of Generative AI-powered applications. Your key responsibilities may include:

Designing, developing, and deploying fullstack applications that integrate Generative AI models (e.g., LLMs, image generation models) into user-facing products and internal tools.
Building robust backend services and APIs (using languages like Python, Java, Node.js) to interact with AI models, data sources, and other enterprise systems.
Developing intuitive and responsive front-end user interfaces (using frameworks like React, Angular, or Vue.js) to enable seamless interaction with AI functionalities.
Implementing and optimizing Retrieval Augmented Generation (RAG) frameworks, agentic frameworks (e.g., LangChain, Haystack, LlamaIndex), and prompt engineering techniques.
Working with vector databases (e.g., pgvector, Neo4j) and other data stores for efficient ingestion and retrieval of data for AI models.
Deploying and managing AI models and fullstack applications on cloud platforms (e.g., AWS, Azure, GCP), leveraging services like Azure OpenAI, AWS Bedrock, or Google Gemini.
Ensuring the scalability, security, performance, and reliability of Generative AI solutions, adhering to enterprise architecture standards and regulatory compliance (e.g., data privacy in financial services).
Collaborating closely with AI researchers, data scientists, product managers, and UX designers to translate complex AI capabilities into tangible business value.
Contributing to CI/CD pipelines, MLOps practices, and automated testing for Generative AI applications.
Staying abreast of the latest advancements in Generative AI, machine learning, and fullstack development, and proactively exploring new technologies.

Salary and Benefits

Allianz offers a highly competitive salary and comprehensive benefits package for GEN AI Fullstack Engineers in India, reflecting the specialized nature and high demand for this role. Based on recent market data for Generative AI roles in India, typical offerings can vary, but expect:

A competitive base salary, potentially ranging from ₹25 lakhs to ₹60 lakhs per annum or more depending on experience, expertise, and level (individual contributions can push this significantly higher, with some top professionals earning ₹1 crore+).
Performance-based bonuses or incentives tied to project success and individual contributions.
Comprehensive health, dental, and life insurance coverage.
Provident Fund (PF) and Gratuity benefits as per Indian regulations.
Generous paid time off, including holidays and vacation.
Extensive opportunities for professional development, including specialized training in Generative AI, cloud certifications, and access to internal/external learning platforms.
Employee share purchase plans (ESPP) allowing employees to purchase Allianz shares at a discount.
Flexible working arrangements (hybrid or remote options, role-dependent).
Employee assistance programs and wellness initiatives.
A stimulating and collaborative global work environment with exposure to cutting-edge AI research and real-world financial services applications.
Potential for rapid career growth into lead AI engineering, solution architecture, or specialized AI/ML leadership roles.

Application Process

Ready to build the future with Generative AI at Allianz? Here’s how to apply for a GEN AI Fullstack Engineer position:

Online Application: Visit the Allianz Careers website (specifically look for roles under “Allianz Technology” or “IT & Tech Engineering”) and search for “GEN AI Fullstack Engineer,” “Full Stack AI Developer,” or similar titles.
AI & Fullstack Focused Resume/CV: Prepare a detailed resume highlighting your experience with both frontend and backend technologies, strong programming skills (Python preferred for AI, alongside others like Java/Node.js), deep understanding of Generative AI concepts (LLMs, RAG, prompt engineering), experience with cloud AI services, databases (especially vector databases), and any relevant projects or certifications.
Technical Assessments (if applicable): You may be required to complete online coding challenges that assess your problem-solving, algorithmic thinking, and programming skills, potentially including AI/ML-specific problems.
Interview Scheduling: Successful candidates from the assessments will be invited for interview rounds.

Interview Process

The interview process for a GEN AI Fullstack Engineer at Allianz is typically comprehensive, designed to assess your dual expertise in fullstack development and Generative AI, as well as your problem-solving abilities and cultural fit. It generally includes:

HR Screen: An initial discussion about your background, career aspirations, and interest in Allianz and the specific role, including your motivation to work in the Generative AI space within financial services.
Technical Phone Screen(s): These rounds will likely involve a mix of coding problems (data structures, algorithms) and conceptual questions on core programming languages, web development fundamentals, and basic AI/ML concepts.
Onsite/Virtual Technical Interviews (multiple rounds, often 4-6): Expect several in-depth technical discussions and coding sessions:
- Fullstack Development: Deep dive into your expertise in frontend frameworks (React/Angular), backend technologies (Spring Boot, Node.js/Express, Flask/Django), API design (REST, GraphQL), and database interactions (SQL/NoSQL).
- Generative AI & Machine Learning: In-depth discussion of LLM architectures, fine-tuning, prompt engineering, RAG implementations, agentic frameworks, and experience with various generative models. Understanding of AI model lifecycle from training to deployment.
- System Design (Fullstack & AI Integration): Designing end-to-end Generative AI applications, discussing architectural patterns for integrating AI models into production systems, scalability, latency, security, and data flow.
- Cloud & MLOps: Your experience with deploying and managing AI-powered applications on cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD/MLOps practices.
- Problem Solving & Debugging: Scenario-based questions involving troubleshooting complex issues in fullstack AI applications.
- Behavioral/Leadership Principles: Questions designed to assess your collaboration skills, innovation mindset, ability to handle ambiguity, and alignment with Allianz’s values and agile working methodologies.

Conclusion

Joining Allianz as a GEN AI Fullstack Engineer offers a pivotal opportunity to be at the forefront of digital transformation in the financial services industry. If you are a highly skilled engineer with a unique combination of fullstack development prowess and a deep passion for Generative AI, eager to build innovative solutions that redefine how Allianz operates and serves its customers, this is an exceptional platform to make a significant impact. Apply today and help Allianz care for tomorrow, powered by AI!