Senior Software Engineer, Agentic AI

Responsibilities

• Design, build, and iterate on AI Assistants integrated with enterprise tools including Jira, Slack, and internal data sources
• Develop and maintain prompt engineering frameworks, evaluation pipelines, and feedback loops to continuously improve assistant quality and reliability
• Build and maintain APIs, backend services, and integrations that connect AI capabilities to the tools teams already use
• Collaborate with AI Ops, security, IT, and platform engineering teams to ensure systems are production-grade, secure, and observable
• Contribute to a repeatable framework for building new AI Assistants as the program expands
• Enable the organization by building a marketplace of shared skills/plugins
• Evaluate new models, tools, and libraries and make informed recommendations on when and how to adopt them
• Identify and mitigate risks related to AI outputs, data handling, and responsible use
• Contribute to technical documentation, runbooks, and onboarding materials that help the team scale what gets built

• 4+ years of software engineering experience, with at least 1 year focused on building with AI and/or creating LLM-powered applications
• Experience building and deploying apps in cloud infrastructure
• Hands‑on experience with LLM APIs (OpenAI, Anthropic, or similar) and the practical realities of prompt engineering at scale
• Experience leveraging Claude Code for agentic coding
• Experience integrating with third‑party APIs and enterprise tools (Jira, Slack, or similar platforms is a plus)
• Experience with software engineering best practices including version control, testing, CI/CD, observability, and code review
• Strong communication skills and the ability to work with non‑technical stakeholders to understand workflows and translate them into technical requirements.