Description :

Location : Bengaluru, KA, 560076.

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.