Job Description

Principal Engineer

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Location: Bengaluru, KA, 560076

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Role Summary:

We are seeking a Principal Engineer with 10-12 years of strong, hands-on experience in backend engineering, architecture, AI systems integration, and telephony infrastructure. This role is ideal for someone who can lead engineering efforts end-to-end - from system design to deployment - while collaborating closely with AI/ML and product teams to deliver high-impact, production-grade conversational AI and voice bot solutions. You will take technical ownership of the engineering and delivery lifecycle for AI-powered Speech products, driving performance, scalability, and integration reliability across platforms.

Key Responsibilities:

Architect and lead the development of robust backend platforms that enable AI voice and messaging agents at scale. Drive the integration of CPaaS platforms and telephony systems (Asterisk, FreeSWITCH). Build real-time streaming interfaces integrating ASR (speech recognition), TTS (text-to-speech), and LLM (natural language generation). Manage and guide a small team of backend engineers and work cross-functionally with AI scientists and DevOps teams. Lead the deployment, monitoring, and performance tuning of voice AI systems on cloud-native infrastructure (AWS/GCP/Azure). Create and enforce engineering best practices, CICD pipelines, logging/observability, and API lifecycle governance. Contribute to architectural discussions and long-term technology roadmap aligned with product vision.

Required Skills:

10-12 years of experience in backend engineering (Node.js, Python, or Go) with a strong architecture mindset. Deep understanding of real-time systems, WebSockets, microservices, message brokers (Kafka, Redis Streams, etc.). Strong experience integrating telephony systems (SIP, RTP) and CPaaS providers; hands-on with Asterisk/FreeSWITCH is a plus. Proven ability to integrate and deploy AI/NLP components - LLMs, ASR/TTS engines, vector DBs, etc. Strong grasp of security, compliance, and observability best practices for production environments. Experience with containerization (Docker), orchestration (Kubernetes), and DevOps CI/CD tooling. Demonstrated experience delivering end-to-end AI/voice solutions in a production context.

Desirable Skills:

Experience with Agentic AI frameworks or orchestration of multiple autonomous AI agents. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures. Exposure to analytics, real-time event tracking, and performance dashboards (e.g., Prometheus, Grafana).

What We Offer:

A leadership opportunity to shape cutting-edge AI + Voice solutions in real-world applications (telephony, logistics, collections, etc.). High visibility with executive and product stakeholders, while staying hands-on. A collaborative, tech-first culture with access to modern AI toolchains and infrastructure. * Growth opportunity toward tech leadership or head of engineering pathways.