About the Role We're seeking a Software Engineer to contribute to the development of AI-powered applications, intelligent automation solutions, and enterprise software platforms. This role requires robust full-stack development skills, a product engineering mindset, and hands-on experience implementing modern AI technologies including Agentic AI, Copilots, and Generative AI solutions.

Key Responsibilities

- Design, develop, and enhance cloud-native enterprise applications and AI-powered solutions.
- Build modern web applications using React, TypeScript, and modern front-end frameworks.
- Develop backend services, APIs, microservices, and integration capabilities using .NET, Python, or Node.js.
- Design and implement AI Agents, Multi-Agent Workflows, and Intelligent Automation Solutions.
- Develop AI-powered assistants, copilots, and decision-support capabilities embedded into enterprise applications.
- Collaborate with product, engineering, and business teams to deliver customer-focused solutions.
- Drive engineering excellence through code quality, testing, automation, and CI/CD practices.
- Evaluate and implement emerging AI capabilities to improve business productivity and operational efficiency. Qualifications
- 3-5 years of software engineering experience with strong full-stack development expertise.
- Strong experience with React, TypeScript, JavaScript, HTML/CSS, or similar tech stack and modern UI development practices.
- Experience with backend development using .NET, C#, Python, Node.js, or Java.
- Experience building APIs, microservices, and cloud-native applications.
- Experience with Azure (preferred), AWS, or GCP,



along with CI/CD and DevOps practices.
- Strong understanding of software engineering fundamentals, design patterns, and scalable application architectures.
- Familiarity with databases, data modeling, and enterprise application integrations. •

on customer value, innovation, quality, and continuous improvement. AI & Innovation Experience
- Experience with Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, OpenAI APIs, or similar AI platforms.
- Strong experience on LLMs, Context Engineering, and Prompt Engineering to leverage foundation models for interpreting operational data, application logs, metrics, incidents, and enterprise context to generate insights and recommendations.
- Experience with Graph Correlation, Knowledge Graphs, Dependency Mapping, Event Correlation, and Causal Analysis techniques.
- Hands-on with Agent Engineering, Multi-Agent Workflows, Agent Routing, Agent Selection, Handoffs, and Orchestration Frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar technologies.
- Exposure to Model Development, Fine-Tuning, Training, Evaluation, Continuous Learning, and Performance Optimization methodologies.
- Understanding of Responsible AI, AI governance, security, and evaluation practices. Ideal Candidate A strong full-stack engineer who combines React expertise, cloud-native development, API engineering, and modern AI implementation skills to build intelligent applications, develop Agentic AI solutions, orchestrate multi-agent systems, and accelerate adoption of Generative AI across enterprise platforms and business workflows.

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