Senior Principal Engineer

Responsibilities

• Own the end-to-end architecture for the Voice + Generative AI stack across multiple product lines.
• Solvereal-time streaming and low-latency challenges at scale.
• Defines shared platforms, reusable frameworks, and standards for LLM orchestration and multi-agent systems.
• Take products from prototype (01) to production-ready scale (110).
• Architect systems to handle multi-product adoption (10100)with high availability, reliability, and cost efficiency.
• Anticipate and solve bottlenecks in performance, reliability, and data pipelines at hyperscale.
• Design and implement LangGraph-based agentic workflows, RAG systems, and multi-agent orchestration.
• Integrate STT, LLMs, embeddings, and TTS into scalable production systems.
• Stay at the forefront of the GenAI ecosystem(LangGraph, LangChain, vector DBs, open-source LLMs, commercial APIs).
• Act as a deep IC: prototype, build PoCs, and validate architectural decisions.
• Ownscaling, performance optimization, and reliability engineering across systems.
• Partner with tech leads and principal engineers to guide design reviews and technical execution.
• Influence and mentors, senior engineers, staff engineers, and principal engineers.
• Shape the engineering culture of technical excellence.
• Play a key role in hiring and building senior engineering talent.
  

Requirments

• 15+ years in software engineering, with 5+ years at, principal/staff+ IC level.
• Proven track record of scaling products 0110100in high-growth environments.
• Expertise in large-scale streaming/distributed systems(Kafka, Flink, Pulsar, Spark, etc. ).
• Strong background in cloud-native architectures (AWS/Azure/GCP) and event-driven systems.
• Hands-on with Generative AI frameworks (LangGraph, agentic systems, LLM orchestration, vector DBs, RAG).
• Exceptional IC leader influencing technical direction across multiple product lines.
• Experience mentoring principal/staff engineers and aligning cross-product architecture.
• Ability to make long-term architectural bets and drive adoption.
• Hiring a good individual contributor.
  

Mindset

• Builder DNA: thrives in 01 innovation, 10100 scaling, and beyond.
• Strategic thinker with pragmatic execution focus.
• Passionate about pioneering AI-first products at scale.
  

Preferred Qualifications

• Hands-on experience building streaming applications, multi-agent GenAI systems with LangGraph or equivalent.
• Prior experience architecting voice AI or conversational AI platforms at scale.
• Familiarity with security, compliance, and governance in AI-driven products.
• Track record of driving technical strategy in fast-paced startup environments.