{"id":2165384,"url":"https://alion.io/job/servicenow-staff-software-engineer-24","title":"Staff Software Engineer","company":{"id":97,"name":"ServiceNow","domain":"servicenow.com","url":"https://alion.io/company/servicenow","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":34,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"ServiceNow","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Agile","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"Hallucination","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"OpenAI","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Scrum","optional":true},{"name":"Spring Boot","optional":true},{"name":"SQL","optional":true},{"name":"Vertex AI","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-09T07:52:28Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-13T03:47:57Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.\nJoin us to put AI to work for people.\nThis role requires a blend of technical expertise, leadership skills, and the ability to foster a collaborative and innovative environment. We are looking for a Project Lead familiar with cloud-native and AI-native development practices. Our software is built around AI at its core-LLMs, agents, and retrieval systems-and runs on IaaS (Google Cloud/AWS/etc.), so familiarity with these environments and their managed AI services is a plus. Full ownership of your code will be encouraged, including deployment, testing, evaluation, and validation of both traditional and AI components. You will lead a team of software and AI engineers, coaching and mentoring them. Familiarity with CI/CD, test-driven development, and evaluation-driven development (eval harnesses for AI features) will be a benefit.\nResponsibility Area: Software Development\nDevelop intuitive AI-native software that meets and exceeds the needs of the company\nDevelopment of technical specifications and planning, including model selection, prompt/agent design, and data/retrieval architecture\nAnalyze and automate tests for software components prior to delivery, and build evaluation harnesses (accuracy, regression, and hallucination checks) for AI features\nTroubleshoot coding and model-behavior problems quickly and efficiently to ensure a productive workplace\nFollow secure software coding practices, including AI-specific safeguards (prompt-injection defense, data privacy, PII handling, and responsible-AI guardrails)\nProfessionally maintain all software and create updates regularly to address customer and company concerns, including monitoring model performance and drift in production\nIaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker, Azure OpenAI, Vertex AI)\nExperience with Kubernetes and containerization is welcome; experience serving models or deploying inference/GPU workloads is a plus\nResponsibility Area: Communication\nCommunicate effectively and professionally in all forms of communication with internal and external customers\nLiaise with team members, management, and clients\nBe transparent about challenges, failures, and successes, including the limitations and non-deterministic nature of AI systems\nDeliver presentations and write progress reports for stakeholders, translating AI capabilities and trade-offs for both technical and non-technical audiences\nActively seek ways to improve business software processes and interactions, including where AI and automation can add value\nResponsibility Area: Leadership\nManage individual contributors' daily tasks\nMentor software and AI engineers to ensure high product quality across both deterministic code and AI/model behavior\nPerform detailed code reviews, including reviews of prompts, agent logic, and evaluation results\nEvaluate performance, provide feedback and constructive criticism to team members\nSet and track quarterly goals for all team members\nAssist with training and recruitment activities\nProvide status updates, weekly reports, and issue details to senior leadership as needed\nParticipate in Root Cause Analysis for customer-reported issues, including failures rooted in model behavior, hallucinations, or data/retrieval quality\nAid and support the coaching and training of other team members to ensure all employees are confident in the use of software applications and AI tooling\nCollaborate closely with cross-functional teams including product management, domain specialists, and engineering to define requirements and develop scalable AI-driven solutions\nStay current with the latest advancements in AI and related technologies (new models, frameworks, and techniques), and proactively identify opportunities to apply them to our products and services\n 8-10 years of practical Java experience\n2 years of experience with prompt engineering and prompt/agent scripting\n2 years of hands-on experience integrating third-party AI/ML services and platform APIs (e.g., OpenAI, Anthropic, Salesforce and other SaaS)\nProven ability to design and manage domain-specific languages, prompt templates, and agent instruction frameworks\nDevelop and optimize microservices that power high-performance data and embedding pipelines, handling up to 10 million rows and feeding vector stores\nProficiency in Python, Java, and JavaScript, with strong Python skills for the ML/AI ecosystem\nExperience with RESTful and streaming APIs, model/inference endpoints, web services, and integration technologies\nKnowledge of cloud computing and managed AI services (e.g., AWS Bedrock/SageMaker, Azure OpenAI, Google Vertex AI)\nCreate customer-centric AI solutions such as RAG assistants, agentic workflows, and AI-driven customer service\nCreate data and knowledge-base migration tools for SaaS applications, including moving embeddings and vector data between cloud instances\nExperience with LLM orchestration and retrieval frameworks (e.g., LangChain, LlamaIndex) and vector databases (e.g., Pinecone, Weaviate, pgvector)\nOutstanding collaboration and communication skills\nStrong problem-solving and debugging skills, including working with non-deterministic AI outputs\nAbility to learn quickly, take direction, work independently, and as part of a team\nAbility to develop unit tests and AI evaluation harnesses (accuracy, regression, and hallucination checks) for code components, prompts, and complete applications\nAbility to debug and isolate the root cause of complex issues in probabilistic and distributed systems\nExperience with Agile and Scrum development methodologies\nExperience with Spring Boot or similar frameworks\nExperience working with APIs, REST standards, JSON, SQL, and NoSQL/vector stores\nBachelor's degree in computer science or a related field; coursework or experience in ML/AI a plus\n Work Personas\nWe 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.\nEqual Opportunity Employer\nServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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.\nAccommodations\nWe 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  for assistance.\nExport Control Regulations\nFor 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.\nFrom Fortune. ©2026 Fortune Media IP Limited. All rights reserved. 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