Founding Engineer

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

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

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