Infrastructure Developer at ServiceNow

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, AI Integration, LLM-Powered Systems, REST APIs, Event-Driven Systems, Asynchronous Workflows, Generative AI Models, Data Structures, Algorithms, Object-Oriented Design, Design Patterns, Observability, ServiceNow, Machine Learning, Code Quality

Industry

Software Development

Description

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As a Software Engineer, you will design, implement, and operate multi-agent workflows that bring automation and intelligence to accelerate asset management. What You’ll Do: Design and build intelligent agent workflows that coordinate specialized AI agents through controlled orchestration frameworks. Engineer end-to-end multi-agent pipelines — from data retrieval and reasoning to evaluation. Integrate Generative AI models (OpenAI, Gemini, Claude, or fine-tuned internal models) for reasoning, enrichment, and contextual decision-making. Develop robust back-end services and APIs (Python or ServiceNow) to expose and manage agent operations. Build intuitive UIs and dashboards (Service Portal, React, or Angular) to visualize agent performance, explainability, and curation metrics. Leverage retrieval-augmented generation (RAG) strategies to ground AI reasoning in factual context. Apply observability, logging, and traceability across all agent workflows to ensure reproducibility, reliability, and continuous improvement. Collaborate closely with product managers, researchers, and engineers to translate automation goals into resilient agentic systems. Participate in code reviews, post-deployment analysis, and production debugging to maintain system quality and stability at scale. Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 3+ years of software development experience with strong command of Python and/or JavaScript. Hands-on experience developing LLM-powered or agent-based systems using frameworks such as LangGraph, CrewAI, Agno, or similar orchestration tools. Deep understanding of REST APIs, event-driven systems, asynchronous workflows, and scalable back-end design. Experience implementing generative AI models in enterprise workflow applications. Strong foundation in data structures, algorithms, object-oriented design, and design patterns, with attention to performance and scalability. Experience deploying AI or automation systems in production, emphasizing versioning, traceability, and performance monitoring. Familiarity with retrieval-augmented generation (RAG), vector stores, and prompt optimization. Working knowledge of the ServiceNow platform or willingness to learn it. Exposure to machine learning fundamentals (embeddings, inference, model evaluation) is a plus. Strong focus on code quality, observability, and operational excellence in AI workflows. Bachelor’s or Master’s degree in Computer Science or a related field. Demonstrated ability to leverage or critically evaluate AI integration in work processes, decision-making, or problem-solving — including using AI-powered tools, automating workflows, analyzing AI-driven insights, and exploring AI’s impact on business functions. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

As a Software Engineer, you will design, implement, and operate multi-agent workflows that bring automation and intelligence to accelerate asset management. You will collaborate closely with product managers, researchers, and engineers to translate automation goals into resilient agentic systems.