Principal Software Engineer

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