Principal Engineer Job 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.