Founding Engineer

Founding Engineer,

backend engineering, AI/ML integration, and voice intelligence

Key Responsibilities

A) Lead Technical Delivery

• Own end-to-end technical design, development, and integration of key backend services and APIs.
• Drive implementation of

  AI-powered workflows

  , including voice-based automation and conversational systems.
• Maintain high engineering standards through code reviews, design discussions, and best practices.
• Translate product and business requirements into well-scoped technical designs, tasks, and milestones

B) Architecture & Problem Solving

• Design scalable backend architectures for

  CRM workflows, AI pipelines, and real-time voice systems

  .
• Build and orchestrate

  agentic workflows using LangGraph

  and LangChain where applicable working together with the AI engineers.
• Troubleshoot and optimize system performance, latency, reliability, and security—especially for

  voice and AI-heavy workloads

  .

C) AI/ML & Voice AI Integration

• Integrate and optimize

  STT (Speech-to-Text) and TTS (Text-to-Speech) models

  into production systems.
• Work with AI teams to improve transcription accuracy, reduce response latency and optimize inference cost and throughput.
• Build backend services that power

  voice bots, VoIP, AI calling agents, and conversational CRM features

  .
• Understand and apply concepts from the

  voice calling ecosystem

  , including call flows, dialog management, and real-time constraints

D) Mentor & Guide Engineers

• Guide and mentor 2–6 engineers through hands-on guidance and technical reviews.
• Set clear technical direction, manage technical debt, and promote clean, maintainable systems.
• Act as a go-to problem solver for complex backend and AI/voice challenges.

What are we looking for?

A self-driven, highly ambitious individual to partner with and build a series of tech products that solve real problems. We are in our early days and still in our hustle phase, and will require the same mindset to pick on new challenges and continuously innovate, build and improve the products at a fast pace.

Capabilities and Experience

• Strong backend engineering expertise

  using

  Node.js and/or Python

  .
• Solid frontend working knowledge (React / Angular) for building or supporting user-facing features.
• Experience designing

  REST/GraphQL APIs

  , microservices, and cloud-based systems (AWS/GCP).

• Hands-on experience building agentic workflows using LangGraph/LangChain

  .
• Experience integrating

  AI/ML models into production systems

  , not just experiments.
• Strong understanding of the

  Voice AI ecosystem

  , including:
• - STT / TTS model integration
• - Voice bot or conversational system backends
• - Latency and reliability considerations for voice systems
• Proven ownership of complex features or systems end-to-end.
• Experience with

  VoIP, SIP, WebRTC, or cloud telephony infrastructure

  .
• Familiarity with LLMs, RAG pipelines, vector databases, and AI observability.
• Prior experience in

  CRM, EdTech, RecruitmentTech, or workflow automation platforms

  .
• Exposure to cost optimization for AI inference and voice infrastructure