Senior Full-Stack Software Engineer

The Senior Full-Stack Software Engineer: LLM Implementation Lead (SSWE:LIL)  plays a critical role in designing, building, and maintaining the software systems that power Protocall's operations. This person leads substantial development efforts, makes sound architectural decisions, and delivers high-quality solutions aligned with business objectives. They are expected to leverage AI tools and techniques as a core part of their development workflow — both to increase their own effectiveness and to build AI-powered capabilities into Protocall's products and platforms.
This position works closely with the Director of Software Engineering on technical decision-making and collaborates with the Data & Analytics team to ensure software systems produce clean, well-structured data that supports reporting, analytics, and AI initiatives.

Key Responsibilities:

Software Design & Development
●    Design, develop, and maintain software architecture, making strategic decisions to meet business goals and technical requirements.
●    Provide architectural guidance and technical leadership for software development projects, influencing project direction and ensuring successful execution.
●    Take ownership of critical software systems integral to operations. Identify opportunities for improvement and lead enhancement initiatives.
●    Collaborate within cross-functional teams — developers, data professionals, clinical staff, and other stakeholders — ensuring alignment with architectural standards and best practices.
●    Ensure that Protocall's core values, with a focus on security and compliance, are upheld in all software development. Implement and maintain stringent controls to meet and exceed HIPAA, GovRAMP, and other compliance and security benchmarks.
AI-Augmented Development & AI-Powered Features
●    Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) as a standard part of the development workflow to accelerate delivery and improve code quality.
●    Design and implement AI-powered features within Protocall's platforms, including integration with LLM APIs, transcription services, and automated evaluation systems.
●    Apply prompt engineering, retrieval-augmented generation (RAG), and other AI patterns to solve real business problems in a healthcare context.
●    Evaluate emerging AI tools, frameworks, and models for practical application within Protocall's technology stack.
●    Stay on the forefront of AI advancements in software engineering and bring relevant innovations back to the team.
●    Ensure responsible AI practices — particularly around bias, data privacy, and clinical safety — given the sensitivity of behavioral health data.

Data Team Collaboration
●    Partner with the Data & Analytics team to ensure application databases and data models are well-structured, documented, and optimized for downstream reporting and analytics.
●    Design APIs and data exports that support clean data flow into the data warehouse and BI tools.
●    Coordinate with the Director of Data & Analytics on schema changes, data pipeline impacts, and integration points between application systems and the data estate.

Role Responsibilities
●    Build and maintain web applications across the full stack, from responsive frontends to scalable backend services.
●    Work with relational and document databases, applying best practices for schema design, performance, and optimization.
●    Integrate cloud services, primarily in Azure. Experience with other cloud providers is welcomed.
●    Write and maintain regression tests to ensure system stability across releases. Build and maintain CI/CD pipelines.
●    Troubleshoot and resolve issues in a timely manner.
●    Make sound design and architectural decisions, from database design to cloud infrastructure.
●    Work with external and remote teams. Manage expectations and execute against a roadmap.
●    Work in Agile environments with familiarity across all stages of SDLC.
●    Maintain proficiency with Git-based version control workflows.
●    Document code, technical processes, and architecture decisions.