Principal Software Engineer

About the job

Principal Engineer - Agentic AI

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 As a Lead Engineer, you will play a critical role in designing, developing, and maintaining high-quality software applications using C# and React. You will collaborate with cross-functional teams to define, design, and ship new features while ensuring the performance, quality, and responsiveness of applications. This position requires a deep understanding of software engineering principles and a passion for developing scalable and efficient software solutions.

What You’ll Do

- Build reliable systems that integrate large language models into our products

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

- 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 .

- 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 vector databases, 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 product-based companies, contributing to the development, enhancement, and scaling of high-quality products (product lifecycle management).

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

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

- Experience 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.

- Ensure high performance, scalability, and security of applications.

- Conduct  code reviews , write unit tests, and follow  TDD and Agile  development practices.

- Mentor junior developers and collaborate with UX/UI designers and product teams.

- Ensure application security, performance, and scalability.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration abilities.

- Ability to work independently and take ownership of projects.

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

Knowledge of the following technologies is a plus:

- Experience with GraphQL, WebSocket, or SignalIR.

- Knowledge of Microservices architecture.

- Familiarity with Blazor or Angular.

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

- Development of Complex Application and System Architectures

- Queues like RabbitMQ, SQS.

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