Software Engineer [SK-23014]

Aquent is a proud partner in the search for this pivotal role, connecting top talent with groundbreaking opportunities at a leading technology innovator. This organization is at the forefront of pioneering advancements, fostering a culture of creativity, collaboration, and technical excellence. As a Software Engineer, you will directly impact developer productivity and the speed of innovation across the entire organization, shaping the future of internal development ecosystems and empowering engineering teams to achieve new heights.

Join a team that is revolutionizing how engineering teams operate within a leading technology innovator. This organization is dedicated to empowering engineers across the company to build and deliver cutting-edge solutions more efficiently and effectively. We are seeking an exceptional individual to dive into the heart of our internal development ecosystem, designing, building, and extending a shared platform that integrates state-of-the-art AI agent technology. This is more than just writing code; it’s about architecting robust, scalable solutions that empower teams to harness the power of AI without extensive re-architecture. You will set new standards for efficiency and intelligent automation, championing extensibility as a core feature and ensuring seamless integration of new triggers, agents, or tools. Your work will directly impact developer productivity and accelerate innovation, all while maintaining a deep empathy for the developer experience through usability and ease of adoption. This dynamic role thrives on navigating ambiguity, understanding that agentic systems are inherently non-deterministic and require empirical, adaptive debugging approaches, offering continuous opportunities for innovation and problem-solving.

What You’ll Be Doing

• Architect and implement sophisticated agent orchestration systems, including router functions, queueing mechanisms, and agent invocation services.
• Seamlessly integrate AI agent capabilities into modern continuous integration/continuous delivery platforms, designing pipeline configuration patterns where agent invocations execute as stages, process context from code changes, produce artifacts, and control subsequent stages based on AI agent outcomes.
• Develop and expand a suite of shared, tool-based functions that empower AI agents with versatile capabilities.
• Design and implement advanced knowledge bases, leveraging powerful search and storage technologies to ensure AI agents can reason over a comprehensive, shared organizational context rather than isolated prompts.
• Implement robust AI guardrails, including input/output filters, sensitive data scrubbing, content moderation, and fine-grained, per-agent permission boundaries, ensuring secure and compliant AI operations by design.
• Develop and integrate resource management controls for efficient resource management, encompassing model tiering and intelligent routing via a large language model gateway, semantic caching, and optimized context-window management.
• Instrument the entire AI platform with comprehensive observability, including dashboards, audit trails, and detailed trace logging for every agent invocation (input, output, decision, tokens, cost) to ensure compliance, facilitate debugging, and provide deep operational insights.

Must-Have Qualifications

• 3–7 years of professional experience in software development.
• Strong proficiency in Python and its software development kit for building production-grade serverless functions and event-driven services.
• Solid experience with cloud-based services, including serverless compute, application programming interface management, messaging queues, event buses, identity and access management, secrets management, and monitoring tools.
• Specific experience with AI agent services, action groups, knowledge bases, and guardrails.
• Hands-on experience integrating with large language model application programming interfaces, such as those from leading providers or similar platforms.
• Familiarity with continuous integration/continuous delivery platforms and best practices.
• A strong security mindset, including expertise in least-privilege access, secure secrets handling, input validation, and an awareness of prompt injection and data-leak risks in large language model workflows.
• Comfortable with observability principles, including structured logging, metrics, tracing, and writing highly debuggable code for prod…