Software Engineer- Agentic AI & Integrations

Overview

Build and maintain scalable backend applications, APIs and integrations, and develop agentic AI capabilities and automated workflows that power WIN's digital products and home services platforms.

What you'll do

• Design, develop and maintain scalable backend applications, APIs and services that power WIN's existing and emerging digital products.
• Build and enhance intelligent AI agents and automated workflows that interact with systems, retrieve information, make decisions within defined parameters, and execute actions to complete business processes.
• Develop robust integrations connecting internal applications, third-party platforms, AI services and external tools using Python, REST APIs, webhooks, MCP and other integration technologies.
• Integrate and orchestrate LLMs, AI agents and external services, including evaluating and switching between AI models and providers to improve accuracy, performance, reliability and cost efficiency.
• Build, test, deploy, monitor and troubleshoot applications and integrations, implementing appropriate safeguards, error handling and automated testing.
• Translate business needs into technology solutions by collaborating with product, technology and business teams to design technical solutions and independently deliver working applications and capabilities.
• Evaluate and implement emerging technologies, contribute to technical architecture, and develop new capabilities supporting WIN's digital ecosystem and long-term technology strategy.

What you'll need

• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent practical experience.
• 4+ years of hands-on software engineering experience.
• Strong proficiency in Python.
• Proven track record of developing backend applications, APIs and integrations.
• Demonstrated experience developing and deploying AI/LLM-powered applications, including agentic workflows, tool calling, or AI-driven automation that interacts with external systems.
• Strong understanding of software architecture, REST APIs, webhooks, authentication and system integration.
• Practical experience working with LLM APIs, integrating AI models into applications, and developing workflows that connect AI capabilities with business systems.
• Experience with cloud platforms such as AWS or GCP, databases, SQL, version control, and modern software development and deployment practices.
• Strong problem-solving and debugging abilities, with demonstrated experience building, testing and maintaining reliable production applications.
• Ability to independently own technical deliverables, adapt to emerging technologies, and collaborate effectively with cross-functional teams.

Nice to have

• Experience with MCP (Model Context Protocol), AI agent frameworks, or similar tool-integration architectures.
• Experience building conversational AI, voice AI or real-time automation solutions.
• Familiarity with FastAPI, asynchronous programming, microservices or event-driven architectures.
• Experience with LLM orchestration, RAG, AI evaluation and performance optimization.
• Experience developing customer-facing digital products or platforms connecting multiple services, users or systems.

Details

• 100% remote working flexibility.
• Works closely with India-based and US-based teams.