Staff Software Engineer (AI Voice Agent)

TL;DR

Staff Software Engineer (AI Voice Agent): Building production-scale real-time AI voice agents that handle customer calls naturally with an accent on speech pipelines, LLM conversation intelligence, and action integrations. Focus on optimizing latency for natural conversations, managing dynamic context and prompts, and ensuring reliability under high load.

Location: Hybrid in San Francisco Office

Salary: $215,000 - $250,000 a year

Company

hirify.global is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue and scale teams.

What you will do

• Build and optimize real-time speech pipelines including buffering, streaming, latency reduction, and speech provider integrations.
• Develop conversation intelligence with LLM prompt construction, context management, function calling, and dialogue management for natural interactions.
• Implement action frameworks for configurable API calls, branching logic, auth, and runtime execution during calls.
• Design knowledge ingestion, storage, retrieval, and memory systems for agents to retain context across conversations.
• Create agent lifecycle tools for configuration, testing, and deployment in collaboration with designers.
• Build evaluation 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 (5+ years for senior roles).
• Proficiency in async code, performance/reliability design, and shipping user-dependent systems.
• Knowledge of real-time systems tradeoffs: buffering, streaming, connection management, latency.
• Production experience with LLMs/AI/ML: prompt engineering, context management, function calling.
• Familiarity with evaluation tooling, event-driven architectures, message queues, caching, async processing.
• Skills in debugging distributed systems, testing, observability, API design, code review, clear communication.
• Use of AI coding tools in daily processes.

Nice to have

• Experience with voice, audio, or telephony systems.
• Work with STT/TTS providers and models.
• LLM evaluation frameworks and AI quality metrics.
• AWS (DynamoDB, Lambda, AppSync, SQS), GraphQL, Kubernetes, IaC (Terraform, Helm).

Culture & Benefits

• Customer-obsessed, data-driven environment with ownership, 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 focus in a collaborative, fast-moving team.