{"id":2304442,"url":"https://alion.io/job/dnv-ai-software-engineer","title":"AI Software Engineer","company":{"id":1755554,"name":"DNV","domain":"dnv.com","url":"https://alion.io/company/dnv-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ISO 27001","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SOC 2","optional":false},{"name":"Vue.js","optional":false}],"status":"live","first_seen_at":"2026-09-17T05:52:48Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-12T04:38:07Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"The AI Software Engineer is responsible for developing production-grade AI-enabled platform capabilities, APIs, services, and reusable enhancements across Digital & Transformation. This role sits within the Data & AI Engineering section and contributes to the development of scalable capabilities that can be reused across multiple platform implementations.\nThis role sits within Digital & Transformation, helping to advance how DNV performs Due Diligence, Verification & Assurance, and Renewables Certification work across Energy Systems.\nWorking in close partnership with Product leadership, Solution Engineering, Application Engineering, Platform Reliability, and Solution Architecture, this role translates product needs, implementation feedback, and complex workflow requirements into reliable, maintainable, and production-ready AI-enabled software.\nThe AI Software Engineer builds capabilities that support complex AI scenarios involving model integration, prompt engineering, retrieval, advanced extraction logic, agent configurations, APIs, and reusable platform enhancements. The role also supports API-enabled services and integration patterns that allow AI capabilities to connect effectively with web applications, data services, workflow configurations, and broader platform components.\nThis role requires strong software engineering fundamentals, practical experience with AI-enabled development, and the ability to build secure, scalable systems that support customer-facing platform delivery. Python, JavaScript, and Node.js are primary technologies for this role, with UI framework experience considered helpful but not required for every hire.\n**This role is based at our DNV office in Chennai, India. Further details regarding role-specific requirements will be shared during the interview process.**\nKey Responsibilities\nAI Engineering & Delivery\nDesign, develop, test, and maintain AI-enabled platform capabilities, APIs, services, and reusable software enhancements. \nTranslate product requirements, implementation feedback, and technical design direction into scalable, maintainable, and production-ready systems. \nReview feature requests from Solution Engineering and support development of reusable platform capabilities where requirements should become product or platform enhancements. \nBuild capabilities that can be leveraged across multiple customer implementations, workflows, and platform experiences. \nWrite clean, well-structured, testable, and maintainable code that supports long-term platform quality and team velocity.\nModern Development & AI-Enabled Engineering\nUse AI-assisted development practices to accelerate coding, testing, documentation, refactoring, and engineering analysis. \nApply LLM-enabled workflows responsibly while maintaining strong code quality, security, review practices, and maintainability. \nContribute to reusable engineering patterns, documentation, and development practices that improve team velocity and consistency. \nUse AI-enabled tools where appropriate to support test generation, code review preparation, technical documentation, and developer productivity.\nArchitecture, Platforms & Interoperability\nBuild APIs, services, prompt patterns, agent integrations, extraction workflows, and integration patterns that support platform interoperability. \nDevelop backend services and API-enabled capabilities using technologies such as Python, JavaScript, Node.js, and related frameworks. \nCollaborate with Application Engineering, Solution Engineering, Platform Reliability, and Solution Architecture to align technical decisions across the platform. \nPromote reusable components, shared services, consistent data contracts, and integration standards. \nSupport the appropriate balance between low-code platform implementation, custom engineering, reusable AI capabilities, and API-enabled services.\nData Science & AI Integration\nSupport model integration, prompt engineering, retrieval patterns, advanced extraction logic, AI quality measurement, and agent configuration. \nEnsure AI-driven features are production-ready, scalable, cost-effective, secure, and aligned with platform needs. \nPartner with Solution Engineering on complex document types, failed extractions, prompt optimization, reusable implementation patterns, and AI quality improvements. \nHelp package mature AI capabilities, prompts, evaluation methods, and configuration guidance so they can be reused across customer implementations. \nCollaborate with Data & AI Engineering peers to ensure AI outputs, extracted data, and model-driven capabilities are reliable, testable, traceable, and understandable to users.\nDevOps, Reliability & Security\nContribute to CI/CD pipelines, automated testing, deployment automation, monitoring, and incident readiness. \nBuild software with strong attention to reliability, performance, availability, scalability, and operational support. \nSupport observability practices including logging, monitoring, error handling, and production diagnostics. \nFollow secure development practices aligned with internal security standards, SOC 2 Type II, ISO 27001, and enterprise security expectations. \nEnsure AI-enabled capabilities are developed with appropriate attention to data handling, access control, auditability, and responsible AI practices.\nCollaboration & Technical Ownership\nWork effectively with Product, Solution Engineering, Application Engineering, Platform Reliability, Solution Architecture, and cross-functional stakeholders. \nTake ownership of assigned features, services, defects, and technical improvements from design through production support. \nCommunicate technical tradeoffs clearly and contribute to pragmatic engineering decisions. \nSupport knowledge transfer to Solution Engineering and Application Engineering where AI capabilities become reusable implementation or application patterns. \nContribute to a culture of accountability, collaboration, continuous improvement, and delivery excellence.\n Flexible work arrangements for better work-life balance\nGenerous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave)\nMedical benefits ( Insurance and Annual Health Check-up)\nPension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance)\nTraining and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme)\nAdditional Benefits (Long Service Awards, Mobile Phone Reimbursement)\nCompany bonus/Profit share.\n*Benefits may vary based on position, tenure/contract/grade level*\nDNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.\nBachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent experience. \n3+ years of experience developing production software, APIs, services, backend capabilities, or AI-enabled platform features. \nStrong programming skills in Python, JavaScript, and Node.js. \nExperience building APIs, backend services, integrations, or reusable software capabilities in production environments. \nExperience with LLMs, prompt engineering, model integration, retrieval, extraction workflows, evaluation methods, or agentic patterns. \nExperience with automated testing, CI/CD, source control, code review, and modern software delivery practices. \nStrong understanding of software design, testing, code quality, maintainability, security, and performance. \nAbility to collaborate with Product, Solution Engineering, Application Engineering, Platform Reliability, Solution Architecture, and cross-functional stakeholders. \nStrong problem-solving skills and attention to software quality, security, maintainability, and production readiness.\nWhat is Preferred\nExperience in product-led or platform-based organizations. \nExperience with cloud-native application development, deployment, or support in Azure, AWS, or comparable cloud environments. \nFamiliarity with low-code or hybrid development environments. \nExperience supporting interoperability across multiple systems or enterprise platforms. \nExperience with document processing, structured extraction, retrieval-augmented generation, evaluation frameworks, or AI quality measurement. \nExperience with modern UI frameworks such as Vue.js, React, or comparable frontend frameworks. \nBackground in energy, infrastructure, renewables, assurance, certification, or other technically complex industries. \nExperience contributing to reusable technical standards, implementation patterns, prompt libraries, or shared platform capabilities. \nSecurity and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.","description_format":"text","description_chars":9181,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T22:05:22Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.468,"p_room":0.55,"age_days":25,"expected_fill_days":24,"reasons":["conf:2","stale_co","win:tail","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/dnv-ai-software-engineer","json_url":"https://alion.io/job/dnv-ai-software-engineer.json","meta":{"generated_at":"2026-10-12T09:43:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14782,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1755554},"rest":"https://alion.io/mcp/rest/get_company?id=1755554"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdnv-ai-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdnv-ai-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdnv-ai-software-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dnv-ai-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdnv-ai-software-engineer"}]}