Senior Software Engineer - AI First, Full Stack

Posted Yesterday
Be an Early Applicant
Hiring Remotely in BR
Remote
44K-66K Annually
Senior level
Artificial Intelligence • Software • Conversational AI • Automation
The Role
Senior full-stack engineer owning AI-first platform features across real-time voice, SMS, and web. Build STT/TTS pipelines, LLM agent orchestration, backend services/APIs, multi-tenant SaaS components, frontend PWAs in React, and platform tooling. Work directly with engineering leadership and contribute to open-source BridgeNode and VoxaCor product layers.
Summary Generated by Built In

Senior Software Engineer — AI Platform
Custom AI Solutions | Remote (Brazil) | Contract Engagement

About the Role We are looking for a Senior Software Engineer to engage directly with our CTO and engineering leadership as a dedicated platform engineer on VoxaCor™ and BridgeNode™. This is not a staff augmentation role — you will have real ownership across architecture decisions, feature development, and platform reliability.

VoxaCor™ is our AI voice and SMS platform built for high-volume, real-time communication. BridgeNode™ is the open-source AI conversation framework that powers it — every product CAIS builds runs on it. You will own significant surface area across both — from AI agent orchestration and real-time voice pipelines to frontend interfaces and infrastructure.

AI-first development is core to how we build — if you haven't shipped production AI systems, this role isn't for you.

This is a contract engagement. Applicants must have a registered legal entity in Brazil to contract through. This is a firm requirement and is not negotiable.

Key Responsibilities

  • Build and maintain real-time AI voice pipeline components: STT, TTS, LLM orchestration, and telephony integration

  • Develop multi-tenant SaaS platform features across web, voice, and SMS channels

  • Implement AI agent workflows using Mastra orchestration and Anthropic/Gemini LLM integrations

  • Design and build backend services, APIs, and data models supporting high-volume production workloads

  • Develop frontend interfaces and progressive web app (PWA) features in React

  • Build platform tooling, admin interfaces, and partner-facing configuration systems

  • Contribute to BridgeNode™ open-source framework and VoxaCor™ proprietary feature layers

Tech Stack

  • Backend: Node.js, TypeScript, PostgreSQL, Docker

  • Frontend: React 19, TypeScript, Tailwind CSS, shadcn/ui, PWA

  • Voice & Telephony: Telnyx, Deepgram (STT/TTS), WebRTC, SIP

  • AI / LLM: Anthropic Claude, Google Gemini, Mastra orchestration

  • Infrastructure: Azure, GitHub Actions CI/CD, multi-tenant architecture

Compensation

  • Structure: Paid twice monthly in USD for work performed

  • On-Target Earnings: $44K–$66K USD - depending on experience

Qualifications

  • 5+ years of full-stack engineering experience with TypeScript/Node.js and React

  • Production experience building and shipping AI-powered applications — not just prototypes

  • Hands-on experience with LLM APIs (Anthropic, OpenAI, Gemini, or equivalent) and agent orchestration

  • Real-time systems experience: WebSockets, streaming APIs, or telephony/voice pipelines

  • Strong database and API design fundamentals with PostgreSQL

  • Comfortable working in a multi-tenant SaaS architecture

  • Professional English proficiency — written and verbal communication must be clear, accurate, and effective for async collaboration with a US-based team

  • Able to work independently, manage your own priorities, and communicate proactively in English

  • Available to overlap with US Mountain/Pacific business hours for team collaboration

  • Registered legal entity in Brazil — required for contract engagement (not negotiable)

Strong Pluses

  • Experience deploying or self-hosting open-source LLMs in private or air-gapped infrastructure environments

  • Prior work in voice AI, telephony platforms, or real-time audio pipelines

  • Open-source contributions, particularly to frameworks or developer tooling

  • Experience with Mastra, Pipecat, or similar AI agent orchestration frameworks

  • Background in transportation, logistics, or dispatch software ecosystems

What We're Looking For The ideal candidate is an experienced, self-directed engineer who defaults to building. You don't need hand-holding — you read the requirements, ask the right questions, and ship. You're excited about AI not as a buzzword but because you've worked in the stack and understand what it takes to run these systems in production. You want a role where your work matters and your decisions have real impact.

Not a Fit If

  • You don't have direct experience shipping AI systems to production

  • You're looking for a short-term engagement

  • You don't have a registered Brazilian entity to contract through

  • You need heavy management oversight to stay productive

  • Your English is not sufficient for async written collaboration

Skills Required

  • 5+ years full-stack engineering experience with TypeScript/Node.js and React
  • Production experience building and shipping AI-powered applications
  • Hands-on experience with LLM APIs (Anthropic, OpenAI, Gemini, or equivalent) and agent orchestration
  • Real-time systems experience (WebSockets, streaming APIs, telephony/voice pipelines)
  • Strong database and API design fundamentals with PostgreSQL
  • Experience with Docker and containerized deployments
  • Comfortable working in a multi-tenant SaaS architecture
  • Professional English proficiency (written and verbal) for async collaboration
  • Available to overlap with US Mountain/Pacific business hours
  • Registered legal entity in Brazil to contract through (required, non-negotiable)
  • Experience with Telnyx, Deepgram, WebRTC, SIP, or equivalent telephony/voice integrations
  • Experience deploying or self-hosting open-source LLMs in private or air-gapped environments
  • Open-source contributions, particularly to frameworks or developer tooling
  • Experience with Mastra, Pipecat, or similar AI agent orchestration frameworks
  • Background in transportation, logistics, or dispatch software ecosystems
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The Company

What We Do

Custom AI Solutions, LLC specializes in designing and deploying emotionally intelligent, voice-first AI agents to solve complex business communication challenges. The company creates customized Intelligent Voice Agents (IVAs) that integrate seamlessly with existing systems to automate high-volume inbound and outbound calls, including scheduling and customer service. Their mission is to empower organizations across various industries, such as healthcare and transportation, with AI that functions as a trusted team member.

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