{"id":3842898,"url":"https://alion.io/job/dayforce-agentic-engineer","title":"Agentic Engineer","company":{"id":175960,"name":"Dayforce","domain":"dayforce.com","url":"https://alion.io/company/dayforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":79,"open_postings":19,"ghost_share":0,"stale_share":0.842,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mauritius"],"countries":["MU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-05T13:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T17:32:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Opportunity\nAt Dayforce, we are transforming Powerpay, our Canadian payroll and human capital management solution, by leveraging modern cloud-native technologies and Artificial Intelligence to build smarter, more efficient applications.\nWe are looking for a passionate, hands-on AI Software Engineer specializing in Agentic AI who combines strong software engineering fundamentals with practical experience developing AI-powered applications and intelligent agents.\nYou will contribute to designing and building AI agents, automating complex workflows, and integrating Large Language Models (LLMs) into enterprise applications.\nWe value engineers who are curious, innovative, and capable of transforming emerging AI technologies into practical, reliable, and scalable solutions that deliver real business value.\nWhat You'll Get to Do\nDesign, develop, test, and maintain AI-powered applications and intelligent agents.\nBuild agentic workflows capable of executing multi-step tasks, interacting with tools, and automating business processes.\nIntegrate LLMs with enterprise applications, REST APIs, databases, and external services.\nDevelop AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent technologies.\nImplement Retrieval-Augmented Generation (RAG) to enable AI applications to retrieve and use enterprise knowledge.\nApply prompt engineering, context management, and tool-calling techniques to improve AI agent capabilities.\nDevelop reusable backend services and components supporting AI-powered applications.\nEvaluate AI-generated outputs and improve agent accuracy, reliability, performance, and security.\nCollaborate with developers, architects, Product Owners, and QA engineers to identify opportunities for AI-driven automation.\nDeploy and maintain AI-powered services within cloud-native environments.\nExperiment with emerging AI technologies and contribute to continuous improvement of AI engineering practices.\nSkills and Experience We Value\nSoftware Engineering\nStrong hands-on programming experience with Python, Java, TypeScript, or equivalent languages.\nExperience developing backend services, RESTful APIs, and enterprise applications.\nSolid understanding of software engineering principles, object-oriented programming, and design patterns.\nGood knowledge of databases, API integration, and distributed application concepts.\nExperience with Git, automated testing, and Agile development practices.\nFamiliarity with AWS or equivalent cloud platforms.\nStrong debugging, analytical reasoning, and problem-solving skills.\nAI and Agentic Development\nPractical experience integrating LLMs such as OpenAI GPT, Claude, or equivalent models into applications.\nUnderstanding of agentic AI concepts, including tool calling, workflow orchestration, planning, and context management.\nExperience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent tools.\nKnowledge of prompt engineering, structured outputs, and LLM API integration.\nUnderstanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.\nAbility to design AI agents that interact with APIs, databases, and external tools.\nUnderstanding of LLM limitations, hallucinations, and techniques for improving AI application reliability.\nEngineering and Collaboration\nAbility to independently investigate technical challenges and implement practical solutions.\nStrong analytical thinking and willingness to experiment with emerging technologies.\nAbility to translate business requirements into working AI-powered solutions.\nGood communication and collaboration skills.\nStrong sense of ownership, accountability, and continuous learning.\nAI Engineering and Responsible AI\nAt Dayforce, we encourage engineers to explore innovative applications of AI while maintaining high standards of software quality, security, and reliability.\nWe are interested in candidates who can:\nDesign AI agents that execute meaningful tasks and automate workflows beyond traditional conversational AI.\nApply effective prompt engineering and context management to improve agent performance.\nEvaluate and validate AI-generated outputs through testing and appropriate evaluation techniques.\nImplement safeguards, access controls, and human approval mechanisms where required.\nDesign solutions that manage AI-related risks, including inaccurate responses, unintended actions, and sensitive data exposure.\nConsider performance, latency, token usage, and operational costs when building AI-powered applications.\nFollow organizational policies for responsible AI usage, information security, and data protection.\nWhat Success Looks Like\nYou will be a hands-on AI Software Engineer capable of independently developing AI-powered applications and intelligent agents that solve real business problems.\nYou will demonstrate strong software engineering fundamentals, practical knowledge of LLMs, and the ability to design secure, reliable, and maintainable agentic workflows.\nYou will contribute to Powerpay's AI innovation journey by building intelligent solutions that improve productivity, automate business processes, and enhance user experiences.\nMost importantly, you will go beyond AI experimentation to deliver working solutions that create measurable business value.","description_format":"text","description_chars":5293,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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