SeniorSoftwareEngineer,AITransformation

## Accountabilities This role focuses on building and scaling internal AI-powered systems that transform how software is developed, tested, and operated across engineering teams. Design and build AI-powered developer tools integrated into everyday engineering workflows such as IDEs, Slack, documentation systems, and observability platforms Develop and maintain backend services and infrastructure that support LLM-driven workflows, including tool-calling, orchestration, and agentic systems Implement and evolve AI inference pipelines using modern LLM platforms and frameworks, ensuring reliability, security, and performance at scale Partner with engineering, product, and infrastructure teams to define AI-augmented software development lifecycle (SDLC) patterns Build internal chat-based and automation tools that safely orchestrate systems and services through agent-driven interfaces Instrument, monitor, and analyze AI usage, performance, cost, and reliability to guide engineering and leadership decisions Develop reusable libraries, templates, and frameworks that enable teams to adopt AI workflows consistently and securely Collaborate with security and compliance teams to ensure safe handling of sensitive data, including healthcare-related information Contribute to documentation, training materials, and enablement sessions to support organization-wide adoption of AI tools Requirements This role requires strong backend engineering expertise combined with hands-on experience building and integrating AI/LLM-based systems in production environments. 8+ years of software engineering experience, ideally focused on infrastructure, developer tools, or internal platforms Strong proficiency in at least one backend programming language such as Python, Go, TypeScript/Node.js, or Ruby Hands-on experience working with LLM platforms or orchestration frameworks (e.g., AWS Bedrock, OpenAI, Anthropic, LangChain, LiteLLM, or similar) Experience designing and building backend services, APIs