[Hiring] Senior Full-Stack Engineer @Simulations Plus

Role Description

The Senior Full-Stack Engineer is a versatile contributor, part of a small department whose charter spans both web/SaaS and AI/agents products. The role will ship features across the full stack — backend, frontend, and LLM-integrated surfaces — wherever the team's most pressing implementation work lands in a given cycle. It's a high-variety role for an engineer who wants to build real depth across web platform and applied-AI engineering, on a deliberately lean team that's growing quickly and intentionally.

Job Responsibilities

• Feature Delivery Across the Stack
  • Own features end-to-end across Node.js and Express backends and React/Tailwind frontends
  • Build the APIs, UI, and data flows behind real customer-facing functionality
  • Contribute to the data, auth, and service patterns the platform builds on
• AI Feature Integration
  • Integrate LLM-powered functionality into product surfaces, working alongside the team's AI lead
  • Wire frontends to LLM and MCP endpoints; handle streaming, errors, and degraded states gracefully
  • Contribute to evals, fixtures, and tooling that support the AI side of the team
• Team Impact
  • Bring full-stack range to a team that values flexibility across backend, frontend, and AI
  • Contribute to code reviews, documentation, and the team's shared engineering practices
  • Apply AI coding tools effectively as part of daily engineering workflow
• Other Duties as Assigned

Qualifications

• 3+ years of professional software engineering experience, with shipped full-stack work in production
• Proficiency in JavaScript or TypeScript across Node.js backend and React frontend
• Practical experience with document or NoSQL databases such as MongoDB
• Comfort building and consuming REST APIs and JSON contracts
• Genuine interest in agents, MCP, and applied AI, and the drive to build real expertise in those areas
• Fluency using AI coding tools (Claude, Cursor, Copilot) in daily workflow

Preferred Qualifications

• Familiarity with Anthropic, OpenAI, or other LLM provider SDKs
• Exposure to MCP, agent frameworks, or LLM-integrated product features
• Experience with cloud infrastructure (AWS preferred) and CI/CD pipelines
• Experience in regulated-software environments (SOC 2, HIPAA, GxP, 21 CFR Part 11) or life-sciences SaaS
• Familiarity with Passport, OAuth, OIDC, or comparable auth patterns

Education

• Bachelor's degree in computer science, engineering, or related field preferred
• Relevant technical certifications welcomed

Benefits

• Fully remote work
• Flexible schedules
• Generous vacation policy
• Affordable health coverage
• Annual bonus