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Fullstack AI Engineer

Fullstack AI Engineer

RecroBengaluru, Karnataka, India
6 days ago
Job description

You’re a senior full stack engineer (5+ years) who thrives in fast-paced, early-stage environments. You’re eager to build products from scratch, own an entire product line, and lead a small but growing engineering team. You balance technical rigor with the pragmatism required to ship quickly, and you’re comfortable making architectural decisions while mentoring others.

Responsibilities

  • Own one core product vertical end-to-end : architecture, development, delivery, and maintenance.
  • Lead and mentor 2–3 junior engineers while remaining hands-on with critical features.
  • Build scalable full-stack solutions using React / TypeScript (frontend) and Python (FastAPI / Django) (backend).
  • Integrate AI services (OpenAI, Anthropic, etc.) and voice technologies (STT / TTS).
  • Design cloud infrastructure (AWS / Azure), databases, and scalable systems.
  • Define and enforce engineering best practices (CI / CD, testing, code reviews).
  • Collaborate with founders and product teams to align technical solutions with business goals.
  • Develop APIs and real-time features with WebSockets and SSE.

Qualifications

Must-Have :

  • 5+ years of experience building and scaling production software (0→1 and 1→10).
  • Strong skills in React, TypeScript, and Python (FastAPI preferred) .
  • Experience architecting SaaS platforms serving thousands of users.
  • Proficiency with PostgreSQL and MongoDB .
  • Hands-on expertise in AWS / Azure , including deployments and security.
  • Proven track record of leading and mentoring engineers.
  • Ability to make pragmatic, high-quality technical decisions under startup constraints.
  • Nice-to-Have :

  • Experience with AI / ML APIs (OpenAI, Anthropic, Google Cloud AI).
  • Knowledge of LLM-powered applications, prompt engineering, and vector databases (RAG).
  • Familiarity with voice technologies (STT / TTS) and real-time audio.
  • Mobile development with React Native or similar.
  • Search / retrieval systems experience.
  • Healthcare domain knowledge or compliance expertise (GDPR, HIPAA).
  • Previous early-stage startup experience.
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