Senior Software Developer (Agentic Development)

Key Responsibilities

• Design, develop, and maintain agentic orchestrations, automated workflows, and internal tools that improve software delivery outcomes
• Partner with QA, product management, product ownership, engineering leadership, and design to identify workflow bottlenecks and build solutions that improve collaboration and delivery quality
• Develop agent-based workflows that can coordinate multi-step tasks, interact with internal systems, use tools safely, and provide reliable, auditable outputs
• Evaluate emerging AI, automation, and orchestration technologies and determine how they can be responsibly applied to software delivery
• Build reusable frameworks, services, APIs, and integrations that enable teams to automate common delivery activities
• Improve engineering effectiveness by reducing repetitive manual work, increasing consistency, and helping teams make better technical and product decisions
• Collaborate with security, compliance, and architecture stakeholders to ensure internal tools meet organizational standards for reliability, privacy, maintainability, and governance
• Occasionally perform full-stack feature development within the context of the AI Toolset
• Mentor and assist in the training and onboarding of new developers

Required Qualifications

• 5 or more years experience developing software in an Agile, team-based environment
• BS and/or MS in a technical discipline (Computer Science or Software Engineering preferred)
• Strong understanding of OOP concepts and design patterns
• Expertise with Angular, ASP.NET Core, C#, JavaScript, TypeScript, CSS, SASS, and HTML
• Experience with PostgreSQL or other relational databases, and Entity Framework Core or similar object-relational mapping frameworks
• Experience building internal platforms, developer tools, automation frameworks, workflow engines, integrations, or productivity tools
• Strong understanding of the software development lifecycle, including planning, development, testing, code review, release management, and operational support
• Excellent communication skills with the ability to work effectively across engineering, QA, product, management, and design teams

Preferred Qualifications

• Experience building AI-assisted applications, LLM-powered tools, autonomous or semi-autonomous agents, or agentic workflow systems
• Familiarity with orchestration frameworks, tool-calling architectures, retrieval-augmented generation, prompt engineering, evaluation frameworks, or AI safety practices
• Knowledge of secure software development practices, privacy-aware system design, and governance for AI-enabled tools
• Experience working in healthcare technology, SaaS, regulated environments, or organizations with strong compliance requirements