{"id":2590602,"url":"https://alion.io/job/univers-senior-full-stack-engineer-ai","title":"Senior Full Stack Engineer (AI)","company":{"id":175386,"name":"Univers","domain":"univers.com","url":"https://alion.io/company/univers-3","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":104000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":113},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"JavaScript","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-15T01:58:39Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T21:04:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"ABOUT UNIVERS\nUnivers combines global operating scale, deep industrial intelligence, and recognition from the institutions shaping energy, technology, and sustainability. The platforms built for the last decade were designed to monitor.\nUnivers was built to act - not just report\nUnivers operates at global scale:\n1,070 GW+ Energy assets under AI management\n450M+ Connected sensors and devices\n800+ Enterprise customers\nLeader Gartner Magic Quadrant Leader\nROLE OVERVIEW / THE OPPORTUNITY\nThe Application Services team serves as the bridge between platform capabilities and customer value realization. We partner with customers to deliver business outcomes through application development, system integration, data solutions, AI-powered applications, and digital transformation initiatives.\nOur projects range from traditional enterprise applications and system integrations to AI Agents, intelligent automation, and Generative AI solutions. Regardless of the solution being delivered, we embrace an AI-native delivery approach, leveraging modern AI technologies and AI-assisted engineering practices to accelerate innovation and maximize customer value.\nRESPONSIBILITIES/WHAT YOU WILL DO\nDeliver customer solutions through application development, system integration, data integration, automation, and deployment activities.\nDesign and develop business applications ranging from traditional enterprise systems to AI-powered applications, AI Agents, and intelligent automation solutions.\nEvaluate and apply LLMs, Generative AI, Agentic AI, and workflow automation technologies to solve real business challenges.\nBuild rapid prototypes, proof-of-concepts (PoCs), and pilot implementations to validate business value and technical feasibility.\nDrive solutions from requirements gathering through development, deployment, production rollout, and operational support.\nUtilize AI-assisted development tools and AI-native engineering practices to improve software quality, delivery speed, and engineering productivity.\nDevelop reusable assets, accelerators, frameworks, and best practices to enhance delivery consistency and scalability.\nCollaborate closely with Product, Solution Architects, GTM teams, and customers to ensure successful project delivery and adoption. \nREQUIREMENTS/WHAT WE ARE LOOKING FOR\nMandatory Qualifications\nStrong software engineering foundation with hands-on experience in application development and system integration.\nProficiency in modern programming languages such as Python, Java, JavaScript/TypeScript.\nExperience integrating APIs, databases, enterprise applications, and third-party platforms.\nFamiliarity with AI-assisted engineering tools such as Kiro, Cursor, Claude Code, Codex, or equivalent tools.\nStrong problem-solving skills and the ability to translate business requirements into practical technical solutions.\nAbility to work across both software development and emerging AI technologies.\nGood communication and cooperation skills.\nStrong ownership mindset and ability to independently drive initiatives from concept to delivery.\nPREFERRED QUALIFICATIONS\n\nHands-on experience with Large Language Models (LLMs), AI Agents, AI workflow orchestration, or intelligent automation platforms.\nExperience building customer-facing AI solutions using Microsoft AI Foundry, AWS Bedrock, OpenAI, Anthropic, or equivalent platforms.\nExperience with cloud-native technologies, Docker, Kubernetes, CI/CD, and DevOps practices.\nExposure to enterprise digital transformation, manufacturing, industrial automation, smart buildings, or operational technology (OT) 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