Backend Developer- AI Powered Productivity Platform

Build the engine behind KaraX.ai/SarvaX.ai — AI-powered Agentic platform for the enterprise.

• Location: Remote (India);
• Hours: 5 PM – 2 AM IST;
• Experience: 2–4 Years;
• Type: Full-Time;

At C3aLabs, we are building KaraX.ai/SarvaX.ai — a secure AI workspace where:Most AI tools generate answers. We build systems that take action.

This role is for engineers who want to build: AI agents, real-time systems, enterprise integrations and secure execution layers. This is not a traditional backend job.

⚠️ Do Not Apply If

• You are not actively using AI tools or Ai Skills/Agents in your daily workflow
• You prefer clearly defined requirements over ambiguity, 
• Want to code traditional manner or u want a 9-5 job

What This Role Requires

• Startup mindset
• Own systems end-to-end: design → build → deploy → monitor
• You ship fast and iterate faster
• You’re comfortable with ambiguity and make decisions with incomplete information.
• You are comfortable: making decisions with incomplete information and owning outcomes end-to-end
• You actively explore: new architectures and look for new ways to build faster
• You experiment with new AI tools and frameworks as they emerge — and you know when to integrate them vs. when to wait.
• You understand LLM capabilities and limitations when building AI-powered features.

What You’ll Build

• Build and optimize backend systems powering AI-driven meeting automation, multi-platform integrations, and real-time signal processing.
• Core Systems: AI agent backends, workflow automation systems
• Real-Time Infrastructure: event-driven systems notification engines
• Enterprise Foundation: secure multi-tenant systems, compliance-ready architecture, high-availability infrastructure
• Design and implement robust REST APIs and scalable database architectures and secure cloud storage.
• Own the real-time communication layer (WebSocket, Redis Pub/Sub, Kafka) that enables live coaching and meeting intelligence features.
• Optimize: performance, latency, AI + infra cost
• Collaborate with OTHER engineering team members to deliver enterprise-grade privacy, compliance (SOC 2, GDPR), and multi-tenant support.
• Ensure reliability, performance, and resilience across our cloud-native infrastructure through monitoring, logging, and proactive incident response.

What We’re Looking For

Must-Have:

• 2–4 years of hands-on backend development experience in production environments.
• Strong expertise in Python and the Django framework (Django REST Framework preferred).
• Understanding of  PostgreSQL and/or MySQL — database design, query optimization, migrations.
• Experience with Redis for caching, session management, and async task queues (Celery).
• Solid understanding of RESTful API design principles and microservices architecture.
• Working knowledge of Git, CI/CD pipelines (GitHub Actions, Jenkins, or similar), and automated testing.
• Cloud deployment experience on AWS or Google Cloud Platform (GCP).
• Active use of AI tools (ChatGPT, Claude, Gemini, or similar) in your development workflow.

Nice-to-Have:

• Experience with Kubernetes, Docker, and container orchestration in production.
• Exposure to AI/ML pipelines, NLP systems, speech processing, or real-time audio workflows.
• Experience with real-time systems: WebSocket, Kafka, event-driven architectures.
• Knowledge of multi-tenant SaaS patterns, enterprise security, and compliance frameworks.
• Integration experience with third-party APIs (Slack, Zoom, Google Calendar, CRM platforms).
• Monitoring and observability experience (Prometheus, Grafana, ELK stack, or similar).

What success looks like

• You ship meaningful features every week
• You reduce system complexity while scaling capabilities
• You improve AI performance while lowering cost
• You build systems others can extend and reuse

Why Join C3aLabs

• High-impact role: your technical decisions directly shape the product used by sales teams across industries.
• AI-native environment where you’ll build with cutting-edge tools and LLM integrations daily — not just talk about AI.
• Ownership culture with real autonomy: no micromanagement, no bureaucracy, no permission loops.
• Early-stage equity and growth trajectory — as the team scales, early contributors grow with it.
• Remote-first with flexible structure, operating on US/EU-aligned hours from India.

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