Software Engineer, AI Voice Agent (AI)

TL;DR

Software Engineer, AI Voice Agent (AI): Building production-scale real-time AI voice agents that handle customer calls naturally with an accent on low-latency speech pipelines, LLM-powered conversation intelligence, and dynamic action integrations. Focus on optimizing live audio streaming, managing context and prompts for reliable dialogues, and developing scalable agent configurations with evaluation frameworks.

Location: Hybrid from San Francisco Office

Salary: $130,000 - $220,000 a year

Company

hirify.global is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide, integrating voice, SMS, WhatsApp, and AI.

What you will do

• Develop real-time speech pipelines: buffering, streaming, latency optimization, and integration with speech providers.
• Build conversation intelligence: prompt construction, context management, function calling, dynamic knowledge injection, and dialogue management.
• Implement actions and integrations: configurable API calls, branching logic, auth management, and runtime execution engine.
• Work on knowledge and memory systems: ingestion, storage, retrieval, and conversation retention.
• Handle agent lifecycle: creation, configuration, testing, deployment, and collaboration with designers for intuitive experiences.
• Build evaluations: model frameworks, post-call analytics, quality metrics, and observability with Datadog; participate in on-call rotation.

Requirements

• Experience building production backend systems in Python or Typescript (all levels, 5+ years for senior).
• Async code, performance/reliability design, shipped user-dependent systems.
• Real-time systems knowledge: buffering, streaming, connection management, latency tradeoffs.
• Production LLMs/AI/ML: prompt engineering, context management, function calling, reliability.
• Evaluation tooling experience.
• Event-driven architectures, message queues, caching, async processing; debugging distributed failures.
• Thoughtful testing, observability, API design, code review; clear communication and design docs.
• Familiarity with AI coding tools in daily processes.

Nice to have

• Voice, audio, or telephony systems experience.
• STT or TTS providers and models.
• LLM evaluation frameworks and quality metrics.
• AWS (DynamoDB, Lambda, AppSync, SQS).
• GraphQL API design.
• Kubernetes and IaC (Terraform, Helm).

Culture & Benefits

• Customer-obsessed, data-driven, ownership-focused environment with continuous learning and thoughtful speed.
• Competitive salary, equity, 100% covered medical/dental/vision insurance, 401k matching.
• Unlimited PTO, wellness/commuter/childcare reimbursements, generous parental leave.
• Fast-learning, entrepreneurial culture with 45+ nationalities and multi-cultural mindset.
• Work-life balance emphasis, strong team spirit, and growth opportunities.