• Implement core RAG pipelines including ingestion, chunking, embedding, retrieval, and response generation. • Develop Python-based services and APIs that integrate Large Language Models (LLMs) • Assist in building agent-based workflows with tool/function calling • Work with vector databases and hybrid search mechanisms • Participate in debugging hallucinations, retrieval failures, and quality issues • Write clean, testable, and maintainable code • Collaborate with senior engineers to move GenAI POCs into production

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 What you get to do in this role: As a Staff AI Agent Engineer – Moveworks | Customer Deployment at Moveworks ServiceNow, you’ll be responsible for making customers successful with the Moveworks ServiceNow Platform by accelerating product adoption through various customer engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering. Your primary mission is to translate complex customer business process challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities in the current product but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform. Core Responsibilities & Impact: - Full-stack Ownership: Partner deeply with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks ServiceNow Platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch. - Custom Solution Design: Architect, design and consult with customers to develop high-impact technical AI solutions on the Moveworks ServiceNow platform by helping them leverage AI in novel and meaningful ways to solve complex business challenges. - Integration and implementation: Integrate the Moveworks ServiceNow Platform to Customer enterprise system in an innovative, secure and performant manner. - Product Partnership: Work closely with engineering and product teams on new product rollouts, and help drive product decision making by synthesizing on-the-ground customer feedback and technical gaps. - Strategic Autonomy: Consult customers and apply creative freedom in solution design to shape the customer’s Agentic AI roadmap. About You: You are a technical generalist & a “do-er” with a deep, intuitive understanding of complex systems and a relentless focus on customer impact. You thrive in a dynamic, high-growth environment where you can both build and lead. - Technical Acumen & Curiosity Mindset: You are a rapid learner with high technical aptitude and strong generalist with instincts to quickly learn both new technical and business domains. You possess a curiosity to understand details from both a technical and a business perspective i.e: trying to understand: "what happens under the hood?" and “why is this done that way?” - Technical Mastery: Strong grasp of API based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Product Excellence Obsession: You have product taste/judgement and are obsessed with building and delivering exceptional product experiences for users. - Reusability: You share what works with the broader team, and help generalize solutions into reusable templates. - Customer-Centric Soft Skills: You have the communication skills required for deep customer partnerships, and you genuinely enjoy working directly with customers. You are compelled to develop and deliver compelling solution narratives through creation of high-quality artifacts (e.g. architecture diagrams, solution proposals, product documentation, SOWs) as well as engaging presentations and demos, tailored to the technical and business awareness of the audience. - Strategic Guidance & Influence: Serve as a trusted advisor to customers, providing strategic direction to help them overcome technical and organizational obstacles. This includes developing and delivering context-specific solutions, as well as upskilling customer teams to leverage the product independently. - Entrepreneurial Drive / Grit: You aspire to a high-growth career path, actively seeking to gain maximum exposure and learning across engineering, product, and business functions as quickly as possible. You lean into navigating through challenging business situations or antiquated legacy systems. - Ecosystem Partnership: You possess a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications To be successful in this role you have: - 8+ years of experience in a technical role, such as a Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer or Software Engineer; or an advanced degree with 6+ years - Demonstrated ability to operate across multiple business functions or technical domains, demonstrating adaptability, quick-to-learn, and broad technical skills. - Experience designing, building and launching full-stack workflows, and automations, leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang, etc.). - Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems - Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders - You are willing to travel up to 25% of the time Preferred Qualifications - Familiarity with enterprise platforms (e.g. ServiceNow, Jira Service Desk, Zendesk, Workday, Okta, etc.) is a plus - You have familiarity with Linux and Windows environments and using the command line. - You have a great track record of driving successful technical adoption with medium to large-sized enterprise projects - You stay current with the latest AI tools and frameworks, and think about how to apply them thoughtfully to work smarter and build reliable, scalable solutions 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. - Employee Type: Regular - Region: EMEA - Europe, Middle East and Africa - Work Persona: Flexible or Remote

• Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc. • Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph. • Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance. • Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code. • Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for and efficiency. • Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety. • Own end-to-end implementation from frontend to the backend. • Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python. • Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code. • Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to partially work US working hours)

• Build & Ship AI-Powered Products • Design, develop, and deploy LLM-powered applications and agent-based systems in production • Own the full product lifecycle from concept → production → iteration across backend and frontend • Build scalable, maintainable systems that solve real customer problems • Develop prompt strategies, context management (RAG, memory), and agent workflows • Integrate and optimize across leading LLM APIs (OpenAI, Anthropic, Gemini, open-source) • Continuously improve system quality, reliability, and performance • Use AI-assisted coding tools (e.g., Cursor, Copilot, Claude Code) to accelerate development • Validate, test, and safely integrate AI-generated code into production systems • Own testing strategy including unit, integration, and end-to-end testing • Define and implement evaluation frameworks for AI outputs (quality, consistency, failure modes) • Debug production issues and optimize for latency, cost, and scalability • Translate ambiguous requirements into working solutions • Partner with product, design, and customer-facing teams to deliver impactful features • Collaborate effectively with distributed and offshore engineering teams