Principal Engineer

3 weeks ago


Bengaluru, India Movius Full time

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. (ref:hirist.tech)


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