Senior Software Engineer, Voice AI

Your opportunity

Key responsibilities 

• Software architecture and engineering: Design and implement event‑driven, real‑time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations to ensure low‑latency, high‑throughput and fault‑tolerance
• Systems architecture and engineering: Collaborate on cloud‑native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load‑balancing strategies, security best practices, and observability efforts
• AI platform engineering: Integrate LLMs and other emerging AI technologies, select and potentially fine‑tune models, orchestrate deployments, and monitor performance
• Audio processing: Design, implement, and optimize audio‑processing pipelines for capabilities such as speech‑to‑text, text‑to‑speech, voice‑activity detection, endpointing, noise filtering, and emotion detection
• Technical leadership and mentoring: Guide architecture and design decisions, conduct code reviews, establish best practices, and coach team members to accelerate their technical growth while reinforcing a culture of continuous improvement

Tech stack

• Back-end: Python, Go, Elixir, Ruby
• Database: PostgreSQL, vector databases (e.g. Pinecone, Qdrant, Chroma)
• Cloud provider: Azure
• Machine Learning & AI services: LiveKit, OpenAI, LangChain
• Infrastructure as code / containerization: Terraform, Docker
• Monitoring, alerting & observability: New Relic, incident.io

Your know-how

• You have experience integrating and deploying AI-enabled features using commercially available or open-source models into market-ready products
• You have 4+ years of experience in back-end or full-stack software engineering
• You have an adaptable, resilient disposition suited to a dynamic startup environment
• You have experience with natural language processing (NLP)

It’s a bonus if

• You have helped build or scale an enterprise SaaS venture
• You have developed and/or integrated voice‑AI or audio‑processing solutions in production (ideally utilizing LiveKit)
• You have designed and implemented highly concurrent, fault‑tolerant services using Elixir, Erlang, Haskell, Go or another equivalent language
• You have experience with telephony systems (PSTN, SIP protocols, PBX architectures)
• You have experience with WebRTC technologies (peer-to-peer media streaming, signaling protocols, ICE/STUN/TURN for NAT traversal, data channels, and client-server integration)
• You have experience with Vector databases and similarity search pipelines
• You have an acute interest in building impact-oriented technology and saving lives with software

Interested in learning more?

Compensation