Founding Engineer – Full-Stack Generalist
New
J
JobgetherAI Automation
Based in IndiaFull-TimeSenior
Salary3,000,000 - 4,400,000 INR per year
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Job Details
- Experience
- 5+ years of professional software engineering experience
- Required Skills
- Node.jsPostgreSQLTypeScriptReactCI/CDLLM
Requirements
- 5+ years of professional software engineering experience, including early-stage startup or high-ownership environments.
- 5+ years of senior-level full-stack engineering experience across React/TypeScript and Node/Postgres-style backends.
- 4+ years of senior-level experience independently managing cloud deployments, releases, and CI/CD.
- 3+ years of experience with PostgreSQL/Supabase or equivalent, including relational data modelling and row-level security.
- 1–2+ years of professional use of AI-assisted or agentic coding tools such as Cursor, Claude Code, or Copilot.
- Demonstrated ability to review, test, and secure AI-generated code with disciplined oversight.
- Strong security fundamentals covering multi-tenant access control, OAuth, and secrets management.
- Ability to independently research and translate ISO 27001 and SOC 2 requirements into engineering practices.
- Experience with LLM application engineering, including prompt design, grounding, and agent safety.
- Experience integrating Stripe or other payment, billing, or metering APIs.
- Strong communication skills and effectiveness operating in ambiguous environments.
Responsibilities
- Own the platform end-to-end as a full-stack generalist, designing, building, shipping, deploying, and operating product capabilities across frontend, backend, and infrastructure.
- Maintain production health by diagnosing incidents and defects, managing releases safely, and implementing effective rollback and recovery practices.
- Use AI-assisted and agentic development tools to accelerate engineering output while independently validating generated code for correctness, security, performance, and robustness.
- Lead engineering efforts toward ISO 27001 and SOC 2 readiness, translating compliance requirements into practical technical controls.
- Make AI assistant and orchestration capabilities reliable, measurable, secure, and suitable for production use.
- Evaluate the existing platform and determine what should be preserved, isolated, improved, or replaced.
- Develop and evolve core product capabilities including delivery intelligence, AI assistance, and commercial workflows.
- Collaborate directly with founders and stakeholders to translate business priorities into engineering decisions.
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