Servicenow developer

6 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Contractual

Job Description

About Cient:


Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.


Job Title: Servicenow Developer

Location: Pan India

Experience: 4-6 yrs

Job Type : Contract to hire

Notice Period:- Immediate joiner




Role Overview :

We are seeking a ServiceNow Product Owner with deep functional expertise in relevant products - few of them being Customer Service Management (CSM), IT Service Management (ITSM), or HR Service Delivery (HRSD) to help design realistic, scenario-driven tasks for AI model training.

This role is not about platform configuration or app development, but about translating real business workflows and decision logic into structured, data-driven tasks that improve AI reasoning and understanding of enterprise processes.

The ideal candidate combines domain expertise in ServiceNow modules with strong analytical, prompt-engineering, and data structuring skills, helping shape how AI systems learn to reason across ServiceNow-like workflows.


Key Responsibilities

  • Define key decision frameworks for Reinforcement Learning initiatives aimed at improving ServiceNow’s models, including taxonomy design, realistic scenario creation, and evaluation criteria.
  • Create scenario-driven tasks that mirror real ServiceNow workflows (case handling, SLA tracking, HR requests, IT incident response).
  • Write clear, natural instructions aligned with ServiceNow business processes.
  • Represent tasks in JSON format, ensuring clarity and consistency.
  • Use SQL queries to analyze and check data for accuracy.
  • Contribute to AI model training by designing tasks that challenge reasoning and produce predictable outcomes.
  • Apply prompt engineering to structure instructions that guide task execution.
  • Collaborate with peers to expand scenarios across ServiceNow domains (CSM, ITSM, HRSD).
  • Document scenario patterns, examples, and best practices for other trainers.

Required Skills & Experience

  • 4–6 years of experience with ServiceNow .
  • 2 years specifically in CSM, ITSM, and HRSD modules.
  • Strong knowledge of workflows, cases, incidents, requests, SLAs, and knowledge management in ServiceNow.
  • Proficiency in JSON authoring and working with structured data.
  • Solid understanding of SQL for data analysis and task validation.
  • Ability to design realistic enterprise scenarios that map to ServiceNow processes.
  • Experience in AI model training workflows, contributing to the creation of structured training data.
  • Strong prompt engineering skills for crafting effective instructions.
  • Analytical thinking, attention to detail, and logical structuring.
  • Strong communication skills + customer facing experience is a BONUS

Preferred Qualifications

  • ServiceNow Certified System Administrator (CSA) and Certified Implementation Specialist-ITSM (CIS - ITSM).
  • Any One - ServiceNow Certified Implementation Specialist (CSM or HRSD).
  • Exposure to AI/ML workflows or training data preparation.
  • Familiarity with Agile methodologies.
  • Good knowledge of prompt engineering.

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