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Location: Bangalore (On-site) Experience: 3–6 years (skill > years) Type: Full-time Role Overview We are looking for a Backend + AI Developer who can build scalable backend systems and AI-powered workflows for real-world products—not demos or PoCs. You’ll Work On SaaS platforms Real-time systems (MQTT, WebSockets, WebRTC) AI agents (voice, chat, automation) Data-heavy APIs and integrations Production systems used by real customers This role is ideal for someone who enjoys solving hard problems end-to-end , not just writing isolated APIs. Key ResponsibilitiesBackend Development Design and build scalable backend services using Node.js / NestJS Implement REST APIs, WebSockets, and event-driven systems Work with Prisma ORM (SQL & MongoDB) Design schemas, migrations, and query-optimized data models Build authentication & authorization systems (JWT, RBAC, permissions) Integrate third-party APIs (payments, messaging, CRM, video, maps, etc.) Handle background jobs, queues, cron tasks, and workflows AI & Automation Build and integrate AI-driven features using LLMs (OpenAI / similar) Develop AI agents for: Voice bots Chat assistants Workflow automation Data extraction & summarization Implement prompt engineering, structured outputs, and guardrails Connect AI systems with backend logic, databases, and external tools Work on real-time AI systems (streaming, partial responses, low latency) Real-Time & Systems Work (Important) Work with MQTT, WebSockets, and event-based architectures Build or integrate WebRTC / streaming / signaling systems Handle concurrency, retries, failure recovery, and observability Optimize performance for high-traffic and low-latency use cases Dev & Production Ownership Write clean, production-ready code Debug real production issues (logs, metrics, failures) Participate in architecture decisions Work closely with frontend, mobile, and product teams Own features from design → development → deployment Required SkillsMust-Have Strong experience with Node.js and TypeScript Hands-on experience with NestJS (or equivalent backend framework) Experience with Prisma ORM Good understanding of databases (PostgreSQL / MySQL / MongoDB) Experience integrating AI / LLM APIs Solid API design principles Comfortable working on complex, evolving systems Good to Have (Big Plus) Experience with MQTT, WebSockets, or real-time systems Experience with WebRTC / media / streaming Experience with Docker & CI/CD Familiarity with cloud platforms (AWS / DigitalOcean / Azure) Prior work on SaaS platforms Exposure to voice bots, chatbots, or automation platforms What We’re Really Looking For Someone who can think in systems, not just functions Comfortable with ambiguity and problem-solving Willing to go deep instead of cutting corners Can debug, reason, and improve existing systems Takes ownership instead of waiting for instructions We prefer problem solvers over resume keywords.What You’ll Work On (Examples) AI voice agents connected to real phone systems SaaS dashboards with RBAC & workflow engines Real-time device communication using MQTT Automation pipelines (AI + backend + external tools) Data-heavy reporting & analytics systems Work Culture No micromanagement High ownership, high trust Focus on output and quality, not hours Engineering-first mindset Real products, real customers Hiring Process Resume shortlisting Technical discussion (problem-solving focused) Practical evaluation (small task or system discussion) Final culture & ownership round Skills: artificial intelligence,mqtt,agents,platforms,automation,websockets,ownership,sql,saas,coding experience
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.