Software Engineer- Agentic AI & Integrations

India·Noidamid

Software EngineerSoftware Engineering

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Design, develop, and maintain scalable backend applications, APIs, and services that power WIN's existing and emerging digital products.

Requirements Summary

Evaluate and implement emerging technologies, contribute to technical architecture, and develop new capabilities that support WIN's expanding digital ecosystem and long-term technology strategy.

Technical Tools

Software EngineerSoftware Engineering

About the Role

~1 min read

Build software applications and platforms: Design, develop, and maintain scalable backend applications, APIs, and services that power WIN's existing and emerging digital products.
Develop agentic AI capabilities: Build and enhance intelligent AI agents and automated workflows that can interact with systems, retrieve information, make decisions within defined parameters, and execute actions to complete business processes.
Integrate systems and technologies: Develop robust integrations connecting internal applications, third-party platforms, AI services, and external tools using Python, REST APIs, webhooks, MCP, and other integration technologies.
Engineer and optimize AI workflows: 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.
Ensure reliability and scalability: Build, test, deploy, monitor, and troubleshoot applications and integrations. Implement appropriate safeguards, error handling, and automated testing to ensure secure, dependable performance.
Translate business needs into technology solutions: Collaborate with product, technology, and business teams to understand requirements, design technical solutions, and independently deliver working applications and capabilities.
Support innovation and product development: Evaluate and implement emerging technologies, contribute to technical architecture, and develop new capabilities that support WIN's expanding digital ecosystem and long-term technology strategy.

Requirements

~1 min read

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, with strong proficiency in Python and a 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.

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.