We are seeking a highly motivated and self-driven back-end Engineer.

You will play a pivotal role in designing, implementing and delivering a foundational platform for AI and Automation, leveraging Microsoft Azure as the primary technology stack.

This platform will power next-generation AI enabled business processing services, focusing initially on creating robust user interfaces enabling advanced data capabilities—including ingestion, mapping, and extraction for structured, semi-structured, and unstructured data as well as building agentic AI intelligent interfaces.

Key Responsibilities

• Design, develop, and deploy scalable, secure, and robust back-end solutions on Azure, with an emphasis on back-end components.
• Ensure software engineering best practices across design, code, and testing across node.js APIs and maintain high quality documentation.
• Troubleshoot, debug, and upgrade existing back-end components and services as the platform grows.
• Experience working in an integrated DevOps and CI/CD environment and awareness of practices for streamlined deployment and platform reliability
• Work independently with minimal supervision, proactively identifying and addressing challenges and opportunities.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience in back-end development, with hands-on expertise in both back-end technologies.
• Proficiency in Node.js, Azure App Services, API development
• Understanding of front-end application integration and deployment architecture
• Experience working with relational (PostgreSQL) and NoSQL databases (CosmosDB/Azure Data Lake), Azure Blob Storage.
• Experience building AI agents involving Python programming, LLM APIs
• Strong understanding of Agentic AI
• Hands-on experience with LangChain
• Familiarity with handling structured (e.g., databases, CSV), semi-structured (e.g., JSON, XML), and unstructured data (e.g., documents, images, text).
• Solid understanding of RESTful APIs, microservices architectures, and cloud-native design patterns.
• Experience with source control (e.g., Git), CI/CD pipelines, and DevOps practices.
• Excellent problem-solving skills, attention to detail, and a proactive, self-starting attitude.
• Strong communication skills, with the ability to work effectively in cross-functional teams.

Good to have / Preferred Qualifications

• Experience with Building and optimizing data pipelines for ingesting, mapping, and extracting data from a variety of sources and formats (structured, unstructured, and semi-structured).
• Strong experience with Microsoft Azure services and building data pipelines, including (but not limited to) Azure App Services, Azure Functions, Azure Storage, and Azure Data Factory.
• Demonstrated experience in building data ingestion, mapping, and extraction workflows for diverse data formats.
• Knowledge of data security, privacy, and compliance best practices on Azure.
• Exposure to business processing services or enterprise transformation projects.
• Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (IaC).