Aloware · 1 day ago
Global AI Engineer, Realtime Voice Agent Platform
United States
Full-time
Remote
Mid, Senior Level
$4,000/mo - $6,000/moAloware is building a production-grade, agentic, S2S-first voice AI platform that answers and makes real phone calls at scale. The Global AI Engineer will be responsible for developing a real-time voice agent platform, ensuring reliable call flows, and integrating AI-enabled features to enhance customer interactions.
Communications InfrastructureCRMCustomer ServiceSaaSSoftware
Responsibilities
Build a production-grade realtime voice agent platform: ship core call capabilities (e.g., transfers, voicemail/AMD-style handling), natural turn-taking, and reliable call flows that work at scale in real customer environments
Design and ship agentic behaviors: reliable tool execution, safe variable resolution, and orchestration of multi-step actions during live calls
Own the agent runtime and 'in-call intelligence': improve speech-to-speech and traditional pipelines, tool execution during calls, and agent behaviors that feel natural (listening cues, interruption handling, and consistent outcomes)
Develop platform APIs and the admin experience: design and implement the configuration, publishing/versioning, and testing surfaces that let teams safely create, iterate, and operate voice agents
Knowledge + retrieval features: build/extend knowledge base and retrieval patterns (RAG) so agents can use customer context accurately and safely
Integrations and eventing: create clean integration layers, authentication patterns, and webhook/event systems that connect the agent platform to Aloware and external systems
Ship with an AI-enabled quality bar: use tools like Cursor/Claude Code to move faster while maintaining strong engineering standards—clean architecture, readable code, tests where it matters, and PR discipline (no 'AI slop')
Qualification
Required
Strong production engineering experience (you've shipped systems that real customers depend on)
Experience building with Python services and/or real-time, latency-sensitive systems
Comfortable with TypeScript + React/Next.js and full-stack ownership when needed
Familiarity with LLM systems and at least one of: realtime/S2S voice models, or STT/LLM/TTS pipelines, or telephony/voice/streaming systems
Preferred
Realtime voice/telephony: SIP/WebRTC, call routing/transfers, contact-center workflows, latency-sensitive systems
LLM/agent building: tool/function calling, prompt/guardrails, evals and regression testing
Knowledge + retrieval (RAG): embeddings/vector search, ingestion from docs/URLs, relevance tuning
SaaS integrations: OAuth/JWT, webhooks, third-party APIs, reliable background jobs (retries/idempotency)
Company
Aloware
Aloware stands at the forefront of providing all-in-one cloud based contact center solutions.
Founded in 2018
51-200 employees
H1B Sponsorship
Aloware has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$1.5M2021-08-08Seed· $0.75M
2021-01-20Seed· $0.5M
2018-02-20Seed· $0.25M
Leadership Team
Anoosh Roozrock
Chief Executive Officer
Sohrab Sheikhani
Director of Engineering
Recent News
2023-10-02
Company data provided by crunchbase