{"id":3200398,"url":"https://alion.io/job/equifax-agentic-ai-developer","title":"Agentic AI Developer","company":{"id":4816,"name":"Equifax","domain":"equifax.com","url":"https://alion.io/company/equifax","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":14,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":136000,"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Google ADK","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"UiPath","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-30T05:50:37Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Synopsis of the Role\nAt Equifax, we are moving past passive AI chat interfaces to build the future of autonomous workflows. We are creating intelligent, self-correcting multi-agent systems that can navigate complex software environments, utilize external tools, and solve open-ended business problems with minimal human intervention. We are seeking a highly skilled Agentic AI Developerto be the core engineer constructing our next-generation AI workforce.\nIn this role, you will be the hands-on builder translating complex automation blueprints into production-grade, stateful agentic workflows. Working within our secure, globally integrated, and highly regulated architecture, you will push the boundaries of what autonomous systems can do-balancing cutting-edge LLM orchestration with absolute data security and deterministic guardrails. \nWhat you will do\nCore Agent Engineering & Creative Prototyping\nBuild Complex Agentic Loops:Develop, test, and deploy robust multi-agent architectures and stateful graph workflows using LangGraph, Google ADK frameworks with our internal agentic or UiPath platforms.\n\nState & Memory Management:Implement advanced short-term and long-term memory systems, utilizing vector databases and custom checkpointing to ensure agents maintain flawless context across long-running, asynchronous tasks.\n\nCreative Problem Solving:Apply a customer-centric, design-thinking lens to architecture challenges. You will actively design solutions and rapidly prototype creative, fact-based AI systems that solve ambiguous, non-linear business problems.\n\nOptimize Model Execution:Optimize agentic loops for latency, context-window management, and token consumption, making strategic decisions on when to deploy multi-LLM orchestration, lightweight local models, or high-performance frontier LLMs.\n\nTooling, APIs & Cloud Deployment\nEquip Agents with Tools:Build clean, secure integrations allowing LLMs to interact with internal APIs, databases, modern microservices, and third-party SaaS platforms via advanced function-calling.\n\nCross-Functional Collaboration:Partner directly with infrastructure, product, business and DevOps teams to containerize, deploy, and scale your AI agents securely within a cloud environment, ensuring smooth production delivery.\n\nBridge AI & RPA:Partner with our automation squads to integrate agentic decision-making with enterprise-grade UiPath workflows, effectively turning traditional RPA bots into intelligent, cognitive executioners.\n\nRegulated Security & Code Quality\nCode for a Regulated Space:Design agent workflows that strictly adhere to enterprise security, compliance, and data governance standards, ensuring auditable decision logs and safe handling of sensitive data.\n\nCode Quality & Governance:Build and follow strict software development best practices. You will conduct rigorous code reviews for internal and vendor-delivered artifacts, maintaining a standardized, world-class global code repository.\n\nImplement Guardrails:Build human-in-the-loop (HITL) overrides and strict operational guardrails into agent architectures to eliminate catastrophic hallucinations and prevent infinite execution loops.\n\nMaintain Code Excellence:Write exceptionally clean, modular, and reusable Python/TypeScript code. Conduct rigorous code reviews for internal and vendor-delivered components to maintain a global standard.\n\nStakeholder Translation:Act as a technical translator, clearly articulating complex AI concepts, loop mechanics, and architectural risks to non-technical business leaders and project teams.\n\nWhat Experience You Need\nExperience:3+ years of professional experience building production-grade AI/ML applications, with a heavy emphasis on LLM orchestration and autonomous agent patterns over the last 1-2 years.\n\nSoftware Engineering Mastery:Strong proficiency in Python or TypeScript, with a deep understanding of asynchronous programming, API design, and microservices architecture.\n\nAgentic Frameworks: Proven, production-level experience building custom agentic runtime loops or utilizing graph-based orchestration frameworks like LangGraph or Google Agent Development Kits (ADK).\n\nRAG & Vector Infrastructure:Practical experience working with Advanced RAG pipelines, semantic search, and vector databases\n\nStructured Outputs:Mastery of JSON schema design and structured decoding techniques for bulletproof LLM tool-calling.\n\nProblem-Solving Mindset:A strong architectural intuition for breaking down ambiguous, multi-step human tasks into structured, programmatic agent prompts and loops.\n\nWhat Could Set You Apart\nRegulated Industry Background:Prior experience deploying AI or high-throughput software solutions within a highly secure or regulated industry.\n\nLive production experience:Experience with deploying live AI solutions with Agentic workflows or GenAI solutions\n\nUiPath & Intelligent Automation:A strong understanding of the UiPath ecosystem and experience bridging traditional RPA with generative AI models.\n\nA proactive, self-motivated mindset with a passion for driving AI adoption across an organization to fundamentally change the way people work.\n\nDemonstrated learning agility and a proactive approach to mastering new technologies.\n\nThis is a newly created position.\nPrimary Location:\nCAN-Toronto-5700 YongeFunction:\nFunction - 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