Senior Infrastructure Developer

As a Software Engineer, you will design, implement, and operate multi-agent workflows that bring automation and intelligence to accelerate asset management.

What you get to do in this role:

• Design and build intelligent agent workflows that coordinate specialized AI agents through controlled orchestration frameworks.
• Engineer end-to-end multi-agent pipelines - from data retrieval and reasoning to evaluation and decision-making.
• Integrate frontier AI models (OpenAI, Gemini, Claude), or fine-tuned internal models for reasoning, enrichment, and contextual decision-making - select and switch models based on complexity, cost, and accuracy trade-offs.
• Design, develop and maintain existing features, and enhance platform capabilities based on user feedback. Develop robust back-end services and APIs (Python or ServiceNow Scripting).
• Collaborate closely with SAM/HAM domain experts, product managers, and engineers to translate automation goals into resilient inbound agentic systems to deliver content at scale.
• Build intuitive UIs and dashboards in Service Portal, React, or Angular
• Leverage retrieval-augmented generation (RAG) strategies to ground AI reasoning in factual context from data sources - ensuring decisions are traceable and verifiable.
• Apply observability, logging, and traceability across all agent workflows to ensure reproducibility, reliability, and continuous improvement.
• Participate in code reviews, post-deployment analysis, and production debugging to maintain system quality and stability at scale. Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry.
• 6-8 years of software development experience with strong command on a any object oriented language Java/Python.
• Hands-on experience developing LLM-powered or agent-based systems using frameworks for production use cases.
• Deep understanding of REST APIs, event-driven systems, asynchronous workflows, and back-end design.
• Experience implementing frontier AI models in enterprise workflow applications.
• Strong problem solving & foundation in data structures, algorithms, object-oriented design, and design patterns, with attention to performance and scalability.
• Experience deploying AI or automation systems in production, emphasizing versioning, traceability, and performance monitoring.
• Familiarity with retrieval-augmented generation (RAG), vector stores, and prompt optimization.
• Working knowledge of the ServiceNow platform and JavaScript (ES6+) or willingness to learn these.
• Strong focus on code quality, observability, logging, and traceability - these are non-negotiable.
• Demonstrated ability to leverage or critically evaluate AI integration in work processes, decision-making, or problem-solving - including using AI-powered coding tools, automating workflows, analyzing AI-driven insights, and exploring AIs impact on business functions.