This is a remote position.
Overview
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.
Requirements
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).
