Software Engineer 1, Full-Stack

The Software Engineer, Full-Stack develops, implements and documents software and programs that provide the technical solutions to meet specifications and business requirements defined by company objectives to promote effective, efficient, and compliant operations. This position builds end-to-end (full stack) features across LoopTech's AI products, including the TOPOS tutoring platform, from the user interface through APIs, data, and cloud deployment, using AI-first development workflows.

• Bachelor's degree in Computer Science or a related field, or equivalent experience of a kind and amount that provides a comparable background
• Git and GitHub familiarity and hygiene, including pull requests, code review, and GitHub Actions CI
• 18+ months of daily use of AI coding agents and harnesses (e.g., Claude Code, Codex, Pi, OpenCode), with familiarity with agent loops and software factory pipelines, and work or a portfolio you can demonstrate
• Ability to read AI research and white papers with high comprehension
• Experience with retrieval-augmented generation (RAG) or graph RAG (e.g., Docling for ingestion, pgvector for retrieval, or LangChain-style equivalents)
• Experience building production web applications with TypeScript and React (1+ years, or equivalent projects)
• Dependency management best practices (e.g., npm or pnpm, uv or pip, Cargo; lockfiles, pinned versions and regular updates)
• Strong skills in Python, Node.js (TypeScript) and Rust, with REST API design experience (e.g., FastAPI)
• Working experience with PostgreSQL and SQLite, including schema migrations (e.g., SQLAlchemy, Alembic)
• Docker or Podman basics
• Test-first development (e.g., pytest, Vitest)
• Data hygiene, including safe handling of secrets and data
• Ability to work across frontend and backend within the same feature and to communicate trade-offs clearly
• Ability to take UX/UI designs and implement them faithfully
• Experience working in an Agile team

Professional Competencies:

• Apply excellent analytical and problem-solving skillsCommunicate technical concepts clearly, in writing and verbally, to technical and non-technical audiencesWork and interact effectively and professionally with and for others throughout various levels of the global organization
• Work effectively in both collaborative and independent environments with minimal supervision
• Remain calm and receptive in fast-paced situations
• Fluency in Artificial Intelligence (AI) This role requires fluency in Artificial Intelligence (AI) and data concepts, including the ability to critically evaluate AI outputs, improve workflows using approved tools, identify and mitigate bias or inaccuracies, and communicate AI-driven insights clearly and responsibly to peers and managers.
• Workplace Standards
• Strictly adhere to safety requirements
• Maintain regular and punctual attendance
• Maintain company quality and quantity standards
• Perform other duties as assigned

Preferred:

• Experience developing interactive, data-driven interfaces, including dashboards, knowledge maps, and graph or network visualizations using tools such as D3.js.
• Playwright and accessibility testing (WCAG); responsive interfaces for mobile and tablet devices.
• Experience integrating real-time media and streaming technologies, such as LiveKit, WebRTC, or WebSockets, into voice or conversational applications.
• Familiarity with handling personally identifiable information (e.g., FERPA or HIPAA; education or healthcare data).
• Kubernetes and Helm, including self-hosted clusters (e.g., OpenStack Magnum) alongside managed cloud services.
• OIDC/SSO and Microsoft Entra ID (MSAL) in multi-role applications.
• Experience working in startups, EdTech, healthcare technology, or other regulated environments that require close collaboration with institutional partners.[EB3.1]
• LLM-powered conversational products, including prompt design, multi-agent orchestration, evaluation of response quality, and basic statistics.
• Self-hosted or open-weight models and OpenAI-compatible model serving.
• Go as an additional backend language.
• Mobile or desktop app development (Android, iOS, macOS, Electron).
• Operating services on Azure; Terraform or other infrastructure as code.
• Familiarity with fine-tuning models.
• Awareness of calibrated decision models.
• Background workers and pipelines, including race conditions and idempotency.
• Self-hosted Git and CI (e.g., Forgejo).
• Container/image security scanning (e.g., Trivy), semantic-version release workflows, and observability (e.g., OpenTelemetry).