Backend Engineer-AI & Automation

Zensar Technologies; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

A technology solutions provider in the United States seeks a Full Stack Engineer to design and deliver a foundational platform for AI and Automation. The role includes developing scalable solutions on Microsoft Azure, optimizing data pipelines, and implementing user-friendly interfaces. Ideal candidates will have over 5 years of experience in full stack development and strong communication skills, along with expertise in Azure services and data handling.

Qualifications

• 5+ years of experience in full stack development.
• Experience with Microsoft Azure services.
• Strong communication skills.

Responsibilities

• Design, develop, and deploy scalable, secure, and robust full stack solutions on Azure.
• Lead the implementation of intuitive user interfaces.
• Build and optimize data pipelines.

Skills

Full stack development

Microsoft Azure

RESTful APIs

Data pipeline development

DevOps practices

AI/ML

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Git

Docker

Kubernetes

Job description

Direct message the job poster from Zensar Technologies

We are seeking a highly motivated and self‑driven Full Stack 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 full stack solutions on Azure, with an emphasis on both front‑end and back‑end components.
• Lead the implementation of user interfaces that are intuitive, responsive, and aligned with business needs.
• Build and optimize data pipelines for ingesting, mapping, and extracting data from a variety of sources and formats (structured, unstructured, and semi‑structured).
• Champion AI/ML and ML Ops for enterprise scale automation.
• Ensure software engineering best practices across design, code, and testing across full stack and maintain high quality documentation.
• Troubleshoot, debug, and upgrade existing components and services as the platform grows.
• Champion DevOps and CI/CD 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 full stack development, with hands‑on expertise in both front‑end and back‑end technologies.
• 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.
• 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.
• Hands‑on experience building AI agents and intelligent front ends.
• 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.

Preferred Qualifications

• Experience with AI/ML platforms or integrating automation workflows.
• Experience building Agentic AI workflows and Gen AI applications.
• 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).