Senior Software Engineer – Full-stack

Posted 23ds ago

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Job Description

Full Stack Engineer developing features for Astra AI platform at InsightRX. Collaborating on web applications, LLM-based agents, and database design.

Responsibilities:

  • Build and maintain features across our React/TypeScript client and NestJS/TypeScript backend, including UI components, REST APIs, and the data layer connecting them.
  • Design and extend the client-server architecture: state management, routing, authentication (including SSO/SAML), real-time updates via WebSockets, and background job processing via AWS SQS.
  • Collaborate on the integration layer between the web app and our LLM-based agents — message schemas, queue-based communication, and file/data handoff.
  • Work with our conversational AI agent system, which orchestrates multiple specialized agents for statistical modeling, data quality checks, and PK/PD analysis workflows.
  • Contribute to database schema design and migrations (PostgreSQL/Sequelize), API documentation (Swagger), and test coverage (Jest, pytest).
  • Participate in code review, architecture discussions, and production support across the stack.

Requirements:

  • Strong professional experience building production level full stack web applications, comfortable owning features from database to UI.
  • Strong TypeScript skills across both frontend (React) and backend (Node.js/NestJS) contexts.
  • Experience designing REST APIs, relational data models (PostGresSQL, MongoDB), and authentication/authorization flows.
  • Familiarity with message-queue or event-driven architectures (SQS, similar).
  • Comfort reading and reasoning about systems that integrate with LLMs — understanding agent/tool patterns, prompt-driven workflows, and the practical quirks of working with LLM output, even without deep AI/ML research background.
  • Strong problem-solving, ownership, and ability to debug across web applications and nondeterministic AI behavior.
  • Uses Claude Code, Codex, or similar AI coding tools effectively while understanding, validating, and taking responsibility for the resulting code.
  • Good instincts for reliability and correctness in domains where data quality matters — you ask "what happens when this fails or the data is malformed."
  • Clear communicator, comfortable working across an evolving codebase with detailed technical documentation.
  • Operate with a high level of independence and cope with ambiguity.
  • Nice to Have:
  • Experience with LLM agent architecture a plus.
  • Experience with SAML SSO, multi-tenant systems, or healthcare/life-sciences software.