Principal Software Engineer

About the job

Principal Engineer – AI/ML

Who We Are Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation.  For more information, please visit solera.com.

The Role You will join a specialized tiger team focused on accelerating development and re‑architecting platforms where needed. This work will center on simplification, modernizing technology, increasing automation, and utilizing advanced AI tools. As more of our products adopt AI capabilities, you will guide teams in selecting the right models and integrating them effectively. You will also play a key role in building and maintaining our AI infrastructure. Tiger-team will work alongside the existing development teams driving the development, before handing over the new development practices to them.

What You’ll Do

- Build reliable systems that integrate large language models into our product.

- Leverage AI tools like Copilot and automation platforms to enhance product capabilities and engineering efficiency.

- Design a scalable CDP, multi-tenant architecture capable of ingesting billions of events from disparate sources (web, mobile, CRM, POS) in real-time.

- Implement AI/ML models within the data orchestration layer to automate Schema Mapping, Anomaly Detection, and Data Labeling.

- Develop sophisticated probabilistic and deterministic matching algorithms for Identity Resolution to create a unified 360-degree customer profile.

- Build LLM-powered interfaces (RAG) that allow non-technical stakeholders to query the CDP using natural language.

- Define the standards for data privacy (GDPR/CCPA), data lineage, and "The Right to be Forgotten" within the platform’s core logic to manage Data Governance.

- Act as the "Engineer’s Engineer," conducting deep-dive architectural reviews and setting the standard for code quality and CI/CD maturity.

- Upskilling the development teams, you work with and contributing to the definition of our next-gen AI SDLC process

- Develop and maintain web applications using .NET (C#, ASP.NET Core/Framework).

- Develop and optimize database solutions using MS-SQL Server, SQL Server, PostgreSQL, or NoSQL databases.

- Build Responsive and Dynamic user interfaces with React.JS

- Proficiency in using Unit testing frameworks to write robust test suites.

- Continuous Integration and Continuous Delivery Tools like Jenkins

- Collaborate with cross functional teams and other stakeholders.

- Implement RESTful APIs and integrate third-party services.

- Write clean, maintainable, and efficient code following best practices

- Participate in code reviews, testing, and documentation.

- Stay up to date with emerging technologies and best practices in full-stack development.

What You’ll Bring

- Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).

- 12+ years of experience in software development with strong data management background

- LLM Skills: Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), as well as tuning models.

- LLM Model: Apt with GPTs, Llama, or any other LLM using frameworks such as LangChain,  LangGraph. Knowledge of memory systems, and human-in-the-loop workflows.

- AI Tools:Hands-on with AI-driven development tools, intelligent code assistance, and workflow automation .

- Experience in working with/ Building CDPs which contribute to the development, enhancement, and scaling of high-quality products (product lifecycle management). Data unification

- Experience with using LLMs using embeddings, RAG, VectorDB and prompt engineering building production grade applications.

- MLOps: Proficiency in managing the model lifecycle using MLflow, Kubeflow, or SageMaker.

- Vector Infrastructure: Experience implementing Vector Databases (Pinecone, Weaviate, or Milvus) for similarity searches and behavioral embeddings.

- Predictive Modeling: Understanding of feature engineering for churn prediction, LTV (Lifetime Value) forecasting, and propensity scoring.

- Experience with privacy-preserving computation (Differential Privacy).

- Strong proficiency in C#, ASP.NET Core/.NET 8+, Web API, Entity Framework Core.

- Experience in React.js, TypeScript, Redux, Next.js (a plus).

- Expertise with SQL Server , MS-SQL Server or NoSQL databases ( MongoDB , Redis).

- Knowledge of RESTful API development and integration.

- Search and analytics engine like Elastic Search .

- Experience with unit testing (xUnit, Jest, Mog) and integration testing.

- DevOps & CI/CD - Familiarity with Docker, Kubernetes, Azure DevOps.

Knowledge of the following technologies is a plus:

- Experience with event-driven design.

- Familiarity with Blazor or Angular.

- Experience with Infrastructure as Code (Terraform, Bicep).

- Experience with GraphQL, WebSocket, or SignalIR.

- Development of Complex Application and System Architectures

- Queues like RabbitMQ, SQS.

- Hands on with Cloud (AWS / Azure) OR On Prem Data centers